Titlebook: Information Technology for Education, Science, and Technics; Proceedings of ITEST Emil Faure,Yurii Tryus,Grygoriy Zaspa Conference proceedi

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天文台

Neural Network Models for Approximation of One-Dimensional Signals neural network approach allows improving the quality of approximation by simplifying structural identifying, whereas only the first hidden layer of artificial neural network models is used. The same approach allows reducing the parametric identification computational complexity and ensuring very go

杀菌剂

Development of an Intelligent System for Object Recognition Using Neural Network Ensemblesent architectures into an ensemble of neural networks. The authors have comparatively analyzed the use of neural networks ensembles with different methods of combining them, such as majority vote, averaging, and stacking. The Cifar100 dataset has been chosen for testing. To speed up the development

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