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Chumachenko, O. I.; Національний технічний університет України «Київський політехнічний інститут»; Kryvenko, I. V.; Національний авіаційний університет (2017)
Publisher: Национальный Авиационный Университет
Languages: English
Types: Unknown
Subjects: Artificial intelligence; connectionist models; bidirectional associative memory, UDC 004.8, искусственный интеллект; связевые модели; двунаправленная ассоциативная память, штучний інтелект; зв’язкові моделі; двонаправлена асоціативна пам’ять
Currently, there exists a huge number of neural networks of different classes, each with itsown advantages and disadvantage. However, there aren’t a lot of focus on hybrid neural networks, basedon the combination of knowт topologies of neural networks. Modular organization principle seems to bevery promising, however principles of its module creation isn’t known and needs further research. Thepresent study, therefore, proposes some methods of hybrid neural network module creation and theirlearning algorithms Рассмотрена система гибридных нейронных сетей. Предложены методы обучения их модулей Розглянуто систему гібридних нейронних мереж. Запропоновано методи навчання їх модулів
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