Wyniki wyszukiwania dla: ensemble of neural networks

• NEURAL NETWORKS

  Czasopisma

  ISSN: 0893-6080 , eISSN: 1879-2782

• Comparison of single best artificial neural network and neural network ensemble in modeling of palladium microextraction

  Publikacja

  • E. Dehghanian
  • M. Kaykhaii
  • M. Mehrpur

  - MONATSHEFTE FUR CHEMIE - Rok 2015

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• Neural networks and deep learning

  Publikacja

  • A. P. López-Monroy
  • J. S. Garcia Salinas

  - Rok 2022

  In this chapter we will provide the general and fundamental background related to Neural Networks and Deep Learning techniques. Specifically, we divide the fundamentals of deep learning in three parts, the first one introduces Deep Feed Forward Networks and the main training algorithms in the context of optimization. The second part covers Convolutional Neural Networks (CNN) and discusses their main advantages and shortcomings...

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• International Journal of Neural Networks

  Czasopisma

  ISSN: 2249-2763

• IEEE TRANSACTIONS ON NEURAL NETWORKS

  Czasopisma

  ISSN: 1045-9227

• Artificial Neural Networks for Comparative Navigation

  Publikacja

  • A. Stateczny

  - Rok 2004

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• Neural Networks and the Evolution of Environmental Change

  Publikacja

  • B. Kudłak
  • R. Kudłak
  • S. Tsakovski
  • V. Simeonov
  • J. Namieśnik

  - Rok 2011

  Zmiany środowiskowe na Ziemii są odwieczne i liczą około 4 miliardy lat. Homo sapiens wpłynął na każdy aspekt środowiska ziemskiego w wyniku rozwoju ludzkości na przestrzeni ostatnich milionów lat. Ale nic tak nie wpłynęło na wzrost i szybkość zmian na Ziemi jak ludzka aktywność w ciągu ostatnich dwóch stuleci. Po raz pierwszy zmiany ekosystemów były tak intensywne i zachodziły na tka wielką skalę i z taką szybkością jak nigdy...

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• Robustness in Compressed Neural Networks for Object Detection

  Publikacja

  • S. Cygert
  • A. Czyżewski

  - Rok 2021

  Model compression techniques allow to significantly reduce the computational cost associated with data processing by deep neural networks with only a minor decrease in average accuracy. Simultaneously, reducing the model size may have a large effect on noisy cases or objects belonging to less frequent classes. It is a crucial problem from the perspective of the models' safety, especially for object detection in the autonomous driving...

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• Ship Resistance Prediction with Artificial Neural Networks

  Publikacja

  • K. Grabowska
  • P. Szczuko

  - Rok 2015

  The paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...

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• A survey of neural networks usage for intrusion detection systems

  Publikacja

  • A. Drewek-Ossowicka
  • M. Pietrołaj
  • J. Rumiński

  - Journal of Ambient Intelligence and Humanized Computing - Rok 2020

  In recent years, advancements in the field of the artificial intelligence (AI) gained a huge momentum due to the worldwide appliance of this technology by the industry. One of the crucial areas of AI are neural networks (NN), which enable commer‐ cial utilization of functionalities previously not accessible by usage of computers. Intrusion detection system (IDS) presents one of the domains in which neural networks are widely tested...

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