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Search results for: NEURON MODELS
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Modele systemów zarządzania jakością
PublicationWspółczesne systemy zarządzania jakościa stają sie coraz bardziej złozone. Niniejszy rodział prezentuje próby modelowania tych systemów. Modele pozwalaja lepiej zrozumieć, wdrażać, stsosować i rozwijać te systemy w warunkach konkretnego przedsiebiorstwa.
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Makro modele przebiegu pojazdów
PublicationWśród wielu miar transportowych praca przewozowa pojazdów jest bardzo często wykorzystywana na poziomie makro (dla obszaru kraju) i używana do szacowania: przewidywanej wielkości zużytego paliwa, potencjalnej liczby pojazdów, wielkości i rodzaju emitowanych spalin, a także liczby wypadków i liczby ofiar wypadków drogowych. W referacie przedstawiono makro modele pracy przewozowej pojazdów zbudowane na bazie danych z kilkudziesięciu...
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Modele marketingowej komunikacji relacyjnej
PublicationW artykule przedstawiono nowe spojrzenie na komunikację marketingową wynikające ze zmian w otoczeniu przedsiębiorstw oraz konieczności tworzenia długoterminowych relacji z klientami. Zaprezentowano dwa nowoczesne modele komunikacji relacyjnej. Podkreślono, że stosowane narzędzia komunikacyjne powinny być zależne od fazy, w której znajduje się aktualnie relacja, a także, że interpretacja nadawanych przez firmę komunikatów jest sprawą...
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Modern Austrian Literature
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Journal of Modern Literature
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Modern Language Studies
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Islam and the Modern Age
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Modern and Contemporary France
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Modern Language Quarterly
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Modern Intellectual History
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The Journal of Modern Craft
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Modern Language Review
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Modern Fiction Studies
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Renaissance and Modern Studies
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Cahiers Mondes Anciens
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Journal of Modern Transportation
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Modern Applied Science
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Mondes En Developpement
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Modern Tunnelling Technology
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Modern trends in psychiatry
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Journal of Modern Dynamics
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Journal of Modern Rehabilitation
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MODERN LAW REVIEW
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REVIEWS OF MODERN PHYSICS
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JOURNAL OF MODERN OPTICS
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Modern Asian Studies
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JOURNAL OF MODERN HISTORY
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MODERN PHYSICS LETTERS A
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Modern Pediatrics. Ukraine
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Modern American History
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Modulo Arquitectura CUC
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The Modern Language Journal
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Verification of the Analytical Traffic Model of a Multidomain IMS/NGN Using the Simulation Model
PublicationIn this paper we verify the previously proposed analytical traffic model of a multidomain Next Generation Network (NGN), which is standardized for delivering multimedia services based on the IP Multimedia Subsystem (IMS). For this reason a proper simulation model used, in which not theoretical queuing system models but the operation of real network elements and standardized call scenarios are accurately implemented. Consequently,...
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Experimental Validation of Numerical Model within a Flow Configuration of the Model Kaplan Turbine
PublicationThis paper investigates validation of flow within a model Kaplan turbine. This includes comparison of various turbulence models and their influence on torque and power generated by the turbine. Numerical results were compared with experimental data.
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Wieloźródłowy model pola elektrycznego okrętu = Multisource model of ship electric field
PublicationW pracy przedstawiono wieloźródłowy model pola elektrycznego okrętu. Wieloźródłowy model stanowi układ źródeł prądowych o określonych położeniach.
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Robert Janczewski dr hab. inż.
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Adding Intelligence to Cars Using the Neural Knowledge DNA
PublicationIn this paper we propose a Neural Knowledge DNA based framework that is capable of learning from the car’s daily operation. The Neural Knowledge DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers' classification based on their driving behaviour. The experimental...
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Digits Recognition with Quadrant Photodiode and Convolutional Neural Network
PublicationIn this paper we have investigated the capabilities of a quadrant photodiode based gesture sensor in the recognition of digits drawn in the air. The sensor consisting of 4 active elements, 4 LEDs and a pinhole was considered as input interface for both discrete and continuous gestures. Index finger and a round pointer were used as navigating mediums for the sensor. Experiments performed with 5 volunteers...
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Evidence for consolidation of neuronal assemblies after seizures in humans
PublicationThe establishment of memories involves reactivation of waking neuronal activity patterns and strengthening of associated neural circuits during slow-wave sleep (SWS), a process known as "cellular consolidation" (Dudai and Morris, 2013). Reactivation of neural activity patterns during waking behaviors that occurs on a timescale of seconds to minutes is thought to constitute memory recall (O'Keefe and Nadel, 1978), whereas consolidation...
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Clothes Detection and Classification Using Convolutional Neural Networks
PublicationIn this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...
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Toward Intelligent Recommendations Using the Neural Knowledge DNA
PublicationIn this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep...
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A Simple Neural Network for Collision Detection of Collaborative Robots
PublicationDue to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use of collaborative robots (cobots). However, the required equipment (force sensors) or alternative methods of detecting a threat to humans are usually quite expensive. The article presents...
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An Analysis of Neural Word Representations for Wikipedia Articles Classification
PublicationOne of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...
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The Neural Knowledge DNA Based Smart Internet of Things
PublicationABSTRACT The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. Smartness, however, remains a substantial challenge for IoT applications. Recent advances in networked sensor technologies, computing, and machine learning have made it possible for building new smart IoT applications. In this paper, we propose a novel approach: the Neural Knowledge DNA based Smart Internet...
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Neural-Network-Based Parameter Estimations of Induction Motors
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Neural network training with limited precision and asymmetric exponent
PublicationAlong with an extremely increasing number of mobile devices, sensors and other smart utilities, an unprecedented growth of data can be observed in today’s world. In order to address multiple challenges facing the big data domain, machine learning techniques are often leveraged for data analysis, filtering and classification. Wide usage of artificial intelligence with large amounts of data creates growing demand not only for storage...
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Application of neural networks for turbine rotor trajectory investigation.
PublicationW pracy przedstawiono rezultaty badań sieci neuronowych przewidujących trajektorię wirnika turbinowego uzyskanych ze stanowiska turbiny modelowej. Badania wykazały, iż sieci neuronowe wydają się być z powodzeniem zastosowane do przewidywania trajektorii ruchu wirnika turbiny. Najważniejszym zadaniem wydaje się poprawne określenie wektorów sygnałów wejściowych oraz wyjściowych jak również prawidłowe stworzenie sieci neuronowej....
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Comparative study of methods for artificial neural network training.
PublicationPrzedstawiono wyniki badań porównawczych następujących metod uczenia sieci neuronowych: propagacji wstecznej błędów, rekursywnej metody najmniejszych kwadratów, metody Zangwill'a i algorytmów ewolucyjnych. Badania dotyczyły projektowania adaptacyjnego regulatora neuronowego napięcia generatora synchronicznego.
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Problems in toxicity analysis - application of fuzzy neural networks
PublicationPraca dotyczy zastosowania sztucznych sieci neuronowych do przygotowywania danych do szacowania toksyczności (wody powierzchniowe). Przygotowanie to polega na sztucznym zagęszczaniu zbioru danych, które następnie mogą być wykorzystane do szacowania/modelowania wartości toksyczności na ich podstawie.
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Neural network agents trained by declarative programming tutors
PublicationThis paper presents an experimental study on the development of a neural network-based agent, trained using data generated using declarative programming. The focus of the study is the application of various agents to solve the classic logic task – The Wumpus World. The paper evaluates the effectiveness of neural-based agents across different map configurations, offering a comparative analysis to underline the strengths and limitations...