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Search results for: QUALITY-MANAGEMENT OF LEARNING
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Evaluation and application of data from road weather stations for winter maintenance management
PublicationThe paper presents the analysis of road weather data from meteorological stations located at the Polish national roads of Pomerania District during the impact of winter conditions. Presented issue is particularly important from the point of view the problem of winter maintenance and especially for prediction and assurance of quality of asphalt pavement surface ie. resistance to low temperature cracking or risk of glazed frost....
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Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
PublicationPredicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...
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Accelerated Gradient-Based Optimization of Antenna Structures Using Multi-Fidelity Simulations and Convergence-Based Model Management Scheme
PublicationThe importance of numerical optimization has been steadily growing in the design of contemporary antenna structures. The primary reason is the increasing complexity of antenna topologies, [ a typically large number of adjustable parameters that have to be simultaneously tuned. Design closure is no longer possible using traditional methods, including theoretical models or supervised parameter sweeping. To ensure reliability, optimization...
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Design specification management with automated decision-making for reliable optimization of miniaturized microwave components
PublicationThe employment of numerical optimization techniques for parameter tuning of microwave components has nowadays become a commonplace. In pursuit of reliability, it is most often carried out at the level of full-wave electromagnetic (EM) simulation models, incurring considerable computational expenses. In the case of miniaturized microstrip circuits, densely arranged layouts with strong cross-coupling effects make EM-driven tuning...
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User experience evaluation study on the quality of 1K, 2K, and 4K H.265/HEVC video content
PublicationNowadays, most content creators focus on distributing rich media at the highest possible resolution. Currently, the majority of sold consoles, media players, computer hardware, as well as displays and TVs are advertised as 4K-compatible. The same trend is observed in the case of popular online streaming services and terrestrial TV broadcasts. Generally speaking, it is assumed that higher bitrates provide higher subjective judgements....
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Quality assessments of electrochromic devices: the possibleuse of 1/f current noise
PublicationElementy wykorzystujące zjawisko elektrochromizmu, potrafiące zmieniać przezroczystość za pomocą ładowania/rozładowania ładunkiem elektrycznym, wykonano na bazie laminatów pokrytych porowatą strukturą tlenków Ni oraz tlenków Wi-V. Oba laminaty, na które naniesiono przewodzącą warstwę In2O3, przedzielono warstwą elektrolitu. Obserwowano szumy typu 1/f w prądzie I płynącym w trakcie rozładowywania urządzenia. Gęstość widmowa mocy...
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Investigating the Effects of Ground-Transmitted Vibrations from Vehicles on Buildings and Their Occupants, with an Idea for Applying Machine Learning
PublicationVibrations observed as a result of moving vehicles can potentially affect both buildings and the people inside them. The impacts of these vibrations are complex, affected by a number of parameters, like amplitude, frequency, and duration, as well as by the properties of the soil beneath. These factors together lead to various effects, from slight disruptions to significant structural damage. Occupants inside affected buildings...
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Emergent Versus Deliberate Knowledge Management Strategy: Literature Review and Case Study Analysis
PublicationThis paper discusses emergent and deliberate knowledge management (KM) strategies on the basis of literature review and case study analysis. It grounds on the results of a comprehensive analysis of the literature on KM strategies and approaches adopted by companies of various sizes. Although KM strategies have been abundantly examined by scholars, not many studies compare deliberate and emergent approaches. By examining the case...
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Sustainable Management of Food Wastes Through Cavitation-Assisted Conversion into Value-Added Products
PublicationMore than 30% of worldwide food consumption is thrown out as food wastes causing serious environmental, economic, and social problems. Therefore, it is required to develop sustainable food waste management methods leading to an enhancement in social and economic benefits and mitigation of environmental impacts. Anaerobic digestion can be regarded as one of those effective methods that can be employed for the conversion of food...
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Modelling the impact of the agricultural holdings and land-use structure on the quality of inland and coastal waters with an innovative and interdisciplinary toolkit
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Modelling the impact of the agricultural holdings and land-use structure on the quality of inland and coastal waters with an innovative and interdisciplinary toolkit
PublicationThe changes taking place in the marine coastal zones are extremely important, as about 40% of the human population currently lives in the coastal areas (within 100 kilometres of the coastline) increasing anthropogenic pressure on the marine ecosystems. Agriculture is a significant source of nutrients to the marine environment that increase hypoxia, eutrophication and may pose a threat to the services provided by ecosystems. In...
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Business continuity management framework for Industry 4.0 companies regarding dependability and security of the ICT and ICS/SCADA system
PublicationThis chapter addresses a business continuity management (BCM) framework for the Industry 4.0 companies including the organizational and technical solutions, regarding the dependability and security of the information and telecommunication technology (ICT), and the industrial control system (ICS) / supervisory control and data acquisition (SCADA) system. These technologies and systems play nowadays important roles in modern advanced...
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Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing
PublicationAir pollution remains a considerable contemporary challenge affecting life quality, the environment, and economic well-being. It encompasses an array of pollutants—gases, particulate matter, biological molecules—emanating from sources such as vehicle emissions, industrial activities, agriculture, and natural occurrences. Nitrogen dioxide (NO2), a harmful gas, is particularly abundant in densely populated urban areas. Given its...
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Restrictions of access to services and a decrease in their quality under crisis conditions – study results
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Impact of Macroeconomic Shocks on Financial Performance and Risk Management: A Case Study of LPP SA During the COVID-19 Pandemic and the Ukraine War
PublicationThis study analyses the impact of two major macroeconomic shocks—the COVID-19 pandemic and the Ukraine war—on the financial stability of LPP SA, a leading apparel company in Poland and Central and Eastern Europe. This research uses the coefficient of variation to assess changes in financial volatility and evaluates the effectiveness of LPP SA’s risk management strategies. The findings reveal that, while the COVID-19 pandemic had...
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Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
PublicationOne of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the ability to anticipate their flexural response. With a comprehensive grid search, several stacked models (i.e., chained, parallel) consisting of various machine learning (ML) algorithms and artificial neural networks (ANNs) were developed to predict the flexural response of SFRC beams. The flexural performance of SFRC beams under bending was...
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Knowledge management approaches among KIBS companies and their determinants – case study analysis
PublicationThis paper aims to present knowledge management (KM) approaches manifested by knowledge intensive business service (KIBS) companies together with their potential determinants (company size, type of services offered, and organizational structure). In particular, two types of approaches have been selected and examined, i.e. emergent KM approach and deliberate KM approach. Indeed, although KM approaches have been abundantly investigated...
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A 0.5 V Nanowatt Biquadratic Low-Pass Filter with Tunable Quality Factor for Electronic Cochlea Applications
PublicationA novel implementation of an analogue low-power, second-order, low-pass filter with tunable quality factor (Q) is presented and discussed. The filter feature is a relatively simple, buffer-based, circuit network consisting of eleven transistors operating in a subthreshold region. Q tuning is accomplished by injecting direct current into a network node, which changes the output resistance of the transistors and, as a result, modifies...
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Effect of package type on selected parameters of nutritional quality of chill-stored white sauerkraut
PublicationBrassica vegetables, including white cabbage, both fresh and sour (Brassica oleracea L. var. capitata L.), contain a lot of valuable metabolites which are effective in chemoprevention of cancer as documented by numerous studies. This work investigates the effect of different packaging types; low density polyethylene (PE-LD) and metalized polyethylene terephthalate (PET met/PE) with polyethylene bags on selected quality parameters in...
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Multi-Aspect Quality Assessment Of Mobile Image Classifiers For Companion Applications In The Publishing Sector
PublicationThe paper presents the problem of quality assessment of image classifiers used in mobile phones for complimentary companion applications. The advantages of using this kind of applications have been described and a Narrator on Demand (NoD) functionality has been described as one of the examples, where the application plays an audio file related to a book page that is physically in front of the phone's camera. For such a NoD application,...
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Kontrola i zapewnienie jakości wyników pomiarów analitycznych =Quality control and quality assurance (QC/QA) of analytical results
PublicationWyniki, które winny być źródłem informacji analitycznej, są uzyskiwane w następstwie przeprowadzanych pomiarów. Na tym etapie stosuje się odpowiednie "narzędzia analityczne", które stanowią metodyki analityczne i urządzenia kontrolno-pomiarowe. "Narzędzia" muszą być właściwie przygotowane do pracy, tak aby uzyskiwane wyniki były miarodajne, czyli aby odzwierciedlały w sposób dokładny (jednocześnie precyzyjny i poprawny) rzeczywistą...
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ARCHITECTURE IN BRANDING AND OVERBRANDING PROCESS. HOW GLOBALIZATION INFLUENCED ARCHITECTURE QUALITY.
PublicationGlobalization is unification. In the field of architecture and in the social structure alike, the globalization leads to a blending of economies and cultures that produces uniformly branded public space as a response to universal assumptions of integration and correlation. While branding consists in creating a recognizable and outstanding image a strong contradiction exists between both of these approaches. As a result, regional...
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Design of a Distributed System using Mobile Devices and Workflow Management for Measurement and Control of a Smart Home and Health
PublicationThe paper presents design of a distributed system for measurements and control of a smart home including temper- atures, light, fire danger, health problems of inhabitants such as increased body temperature, a person falling etc. This is done by integration of mobile devices and standards, distributed service based middleware BeesyCluster and a workflow management system. Mobile devices are used to measure the parameters and are...
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Variable Data Structures and Customized Deep Learning Surrogates for Computationally Efficient and Reliable Characterization of Buried Objects
PublicationIn this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model has been used. The task is to predict simultaneously and independent of each characteristic parameters of a buried object of several radii at different positions (depth and lateral position) in various dispersive subsurface media. This study has analyzed variable...
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Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
PublicationNowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of BRBFs plays a key role in deciding to retrofit buildings after seismic excitation; however, existing formulas have limitations and cannot effectively help civil engineers, e.g., FEMA P-58, which is a conservative estimation method. Therefore, there is a need to...
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Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm
PublicationIn an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently,...
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Exploration of the Solubility Hyperspace of Selected Active Pharmaceutical Ingredients in Choline- and Betaine-Based Deep Eutectic Solvents: Machine Learning Modeling and Experimental Validation
PublicationDeep eutectic solvents (DESs) are popular green media used for various industrial, pharmaceutical, and biomedical applications. However, the possible compositions of eutectic systems are so numerous that it is impossible to study all of them experimentally. To remedy this limitation, the solubility landscape of selected active pharmaceutical ingredients (APIs) in choline chloride- and betaine-based deep eutectic solvents was...
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Process [Intellectual Output 2] Guidelines for a design process leading to a high-quality Baukultur in the digital age
PublicationThe main aim of the intellectual output “Process” is to identify, explore and evaluate new design processes for shaping the built environment, which are informed, collaborative, and adaptable, allow customization and are generally enabled by the application of digital tools. Further, it aims at creating methodological guidelines for future-oriented design processes leading to a high-quality Baukultur in the digital age. The guidelines...
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NLITED - New Level of Integrated Techniques for Daylighting Education: Preliminary Data on the Use of an E-learning Platform
PublicationProject NLITED – New Level of Integrated Techniques for Daylighting Education - is an educational project for students and professionals. The project's objective is to create and develop an online eLearning platform with 32 eModules dedicated to daylight knowledge. The project also offers e-learners two summer school training where the theory is put into practice. The platform was launched on January 31, 2022. The paper...
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The Drop-in-Drop Encapsulation in Chitosan and Sodium Alginate as a Method of Prolonging the Quality of Linseed Oil
PublicationNowadays, the encapsulation of sensitive products by various techniques has become popular as a promising preservation method. In particular, this applies to oils with a high content of unsaturated fatty acids and a high susceptibility to deterioration. This work presents the possibility of using a chitosan and sodium alginate in the form of a hydrogel membrane to protect food ingredients such as linseed oil, which is stored in...
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The effect of sludge thermal disintegration on quality of effluents
PublicationDezintegracja osadów ściekowych prowadzona jest w celach intensyfikacji procesu fermentacji metanowej oraz poprawy odwadnialności osadów ściekowych. Przedstawiono zmiany jakości cieczy nadosadowej osadów ściekowych poddanych procesowi termicznej dezintegracji. Określono zmiany wartości chemicznego zapotrzebowania na tlen oraz stężenia azotu amonowego, białka, fosforanów oraz lotnych kwasów tłuszczowych.
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Instrumental techniques used for assessment of food quality
PublicationW artykule scharakteryzowano dwie techniki instrumentalne stosowane w ocenie jakości produktów spożywczych, tj. chromatografię gazową w połączeniu z detekcją olfaktometryczną oraz nos elektroniczny. Opisano zasady działania obu technik oraz typowe procedury analityczne stosowane w ocenie zapachu. Ponadto, podano przykłady praktycznego zastosowania obu technik, włącznie z tymi, które wykorzystano w pracowni autorów.
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Aromagrams - aromatic profiles in the appreciation of food quality
PublicationW ostatnich latach obserwuje się coraz powszechniejsze stosowanie analizy instrumentalnej do oceny jakości organoleptycznej produktów spożywczych. Nowe podejście polega na tworzeniu profili zapachowych, swego rodzaju "aromagramów" charakterystycznych dla danego produktu. Do najczęściej stosowanych technik pozwalających na tworzenie i rozpoznawanie "aromagramów" należą techniki chromatograficzne, w szczególności chromatografia gazowa...
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Sediment-quality assessment by intelligent data analysis
PublicationCoraz powszechniej do oceny jakości próbek środowiskowych osadów wykorzystuje się analizy chemometryczne. Ich głównym zadaniem jest znalezienie zależności pomiędzy wynikami analiz chemicznych oraz oszacowanymi parametrami toksyczności.Zastosowanie chemometrii w ocenie jakości próbek środowiskowych umożliwiłoby zredukowanie kosztów biomonitoringu prowadzonego na badanym obszarze poprzez optymalizację procedury badawczej.
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The role of lipids in food quality. [Chapter] 9
PublicationZawartość lipidów zależy od gatunku i stanu dojrzałości surowców żywnościowych, a ich stabilność od interakcji z innymi składnikami oraz od warunków obróbki i składowania. Przemiany lipidów wpływają na barwę wielu surowców i produktów żywnościowych, szczególnie mięsa, ryb i bezkręgowców morskich a także na ich zapach. Lipidy uczestniczą w tworzeniu reologicznych właściwości produktów mięsnych i rybnych, emulsji, wyrobów piekarskich...
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Current Trends and Advances in Image Quality Assessment
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Quality of service in optical burst switched networks
PublicationIn the paper analytical models of two service differentiation schemes for optical burst switched network: extended offset time based and PPS (Preemptive Priority Scheme) are revised. Also accordance of analytical models for those schemes is studied when complete class isolation is assumed. Furthermore authors introduce an analytical model which describes an effective degree of isolation when burst switched network employs both...
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Potential Methods of Electrochromic Materials Quality Assessment
PublicationPublikacja zawiera potencjalne metody oceny jakości prototypowych maateriałów wykonanych z warstw elektrochromowych. Warstwy te mogą zostać ocenione za pomocą anlizy sygnałów elektrycznych jak również metodami przetwarzania obrazów.
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Paterns of employment quality upgrading in the European Union
PublicationArtykuł przedstawia zmiany jakościowe w strukturze zatrudnienia krajów UE w latach 1970-2005 (goapodarki UE15) oraz 1995-2005 (Nowe Kraje Członkowskie). Analizę oparto o klasyfikację sektorów ze względu na ich poziom technologiczny oraz intensywność wykorzystania umiejętności siły roboczej.
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Quality of service in optical burst switched networks
PublicationIn the paper analytical models of two service differentiation schemes for optical burst switched network: extended offset time based and PPS (Preemptive Priority Scheme) are revised. Also accordance of analytical models for those schemes is studied when complete class isolation is assumed. Furthermore authors introduce an analytical model which describes an effective degree of isolation when burst switched network employs both...
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Methods of quality characterization of foil-based capacitors
PublicationJakość kondensatorów wykonanych z folii aluminiowej jest zależna od wielu parametrów podczas ich produkcji. Istniejące metody oceny ich jakości nie są doskonałe. Stąd istnieje potrzeba propozycji nowych metod. W pracy przedstawiono wyniki badań zawartości trzeciej harmonicznej oraz emisji akustycznej występującej pod wpływem naprężenia mechanicznego zwijek foliowych z jakością wytworzenia tych zwijek.
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Advancing Knowledge Quality and Quantity in Knowledge Markets
PublicationZaproponowano modelowe podejscie do oceny jakosci i ilosci wiedzy na powstajacych rynkach wiedzy. Przedstawiony model oparty jest na systemach wieloagentowych.
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Quality testing methods of foil-based capacitors
PublicationKondensatory foliowe są powszechnie stosowanymi elementami pasywnymi w ukłądach zasilania. Dotychczasowe metody oceny ich jakości są długotrwałe oraz zużywają energię. W pracy przedstawiono propozycje szeregu nowych, bardziej efektywnych metod, które mogą być z sukcesem stosowane podczas ich produkcji.
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The evaluation of the surface quality after laser cutting
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Parametric optimization of hybrid metalworking machinery quality
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Analysis of a high-quality photonic crystal resonator
PublicationArtykuł przedstawia kompleksową analizę rezonatora 2D o wysokiej dobroci uzyskanego dzięki zastosowaniu fotonicznych kryształów. Struktura rezonatora została zoptymalizowana w celu osiągnięcia maksymalnej dobroci. Analiza została wykonana przy pomocy metody FDTD z zaimplementowanymi makromodelami, a wyniki poddano następnie obróbce cyfrowej w oparciu o technikę GPOF. Taka kombinacja zastosowanych metod okazała się bardzo efektywna...
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Quality investing and the cross-section of country returns
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Kaizen concept in the process of a quality improvement in the company
PublicationArtykuł dotyczy tematyki doskonalenia jakości, które może być realizowane w przedsiębiorstwie za pomocą koncepcji ciągłego doskonalenia Kaizen. Główny cel artykułu koncentruje się na analizie praktycznego zastosowania koncepcji Kaizen w celu eliminacji marnotrawstwa i ciągłego doskonalenia obszarów działalności przedsiębiorstwa. Rozdział został podzielony na dwie części: teoretyczną i poznawczą. W pierwszej, teoretycznej części,...
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Nonquadratic quality indices in estimation, approximation and control
PublicationZaproponowano wykorzystanie niekwadratowych miar jakości w zagadnieniach estymacji parametrów modeli, aproksymacji funkcji okresowych oraz syntezy układów sterowania. Rozważono funkcje celu w postaci ważonych sum lub całek wartości bezwzględnej błędu predykcji. Ponieważ tego typu wskaźniki jakości są w swoich ekstremach nieróżniczkowalne, zadanie minimalizacji funkcji celu rozwiązano stosując iteracyjny algorytm kolejnych przybliżeń....