"Deterministic Diffusion" in a Neural Network Model (Special Section of Letters Selected from the 1994 IEICE Spring Conference)

• Matsuda Hideo

  Department of Rehabilitation Engineering, The Polytechnic University

• Uchiyama Akihiko

  School of Science and Engineering, Waseda University

抄録

This paper describes that a neural network, which consists of neurons with piecewise-linear sigmoid characteristics, is able to approximate any piecewise-linear map with origin symmetry. The neural network can generate "deterministic diffusion" originating from its diffusive trajectory.

収録刊行物

• IEICE transactions on fundamentals of electronics, communications and computer sciences

  IEICE transactions on fundamentals of electronics, communications and computer sciences 77 (11), 1879-1881, 1994-11-25

  一般社団法人電子情報通信学会

詳細情報

• CRID: 1570291227534451072
• NII論文ID: 110003215729
• NII書誌ID: AA10826239
• ISSN: 09168508
• 本文言語コード: en
• データソース種別:
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