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A Neural NetWork for Combinatorial Problems of Optimization
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1999Publisher
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Golovko, V. A Neural NetWork for Combinatorial Problems of Optimization / V. Golovko, S. Derechennik // International Conference on Neural Networks and Artificial Intelligence ICNNAI'99 = Международная конференция по нейронным сетям и искусственному интеллекту ICNNAI'99 : Proceedings, Brest, Belarus, 12–15 October 1999 / Brest Polytechnic Institute, Department of Computers and Laboratory of Artificial Neural Networks, Belarus Special Interest Group of International Neural NetWork Society, International Neural NetWork Society, Belarusian State University of Informatics and Radioelectronics (Belarus), Belarusian Academy of Sciences, Institute of Engineering Cybemetics (Belarus), Universidad Politechnica de Valencia (Spain), Institute of Computer Information Technologies (Ukraine, Ternopil) ; ed. V. Golovko. – Brest : BPI, 1999. – P. 153–157.Abstract
A neural network architecture for the optimization problems is discussed. It is a feedforward neural network with fixed weights. Such approach consists in definition the weights, using a priori knowledge. This paper describes the neural network for solving optimization tasks.
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Это произведение доступно по лицензии Creative Commons «Attribution-NonCommercial» («Атрибуция-Некоммерчески») 4.0 Всемирная.