Learning Algorithms of Multilayer Neural Networks

スポンサーリンク

概要

• 論文の詳細を見る

• A positive reinforcement type learning algorithm is formulated for a stochastic feed-forward multilayer neural network, with far interlayer synaptic connections, and we obtain a learning rule similar to that of the Boltzmann machine on the same multilayer structure. By applying a mean field approximation to the stochastic feed-forward neural network, the generalized error back-propagation learning rule is derived for a deterministic analog feed-forward multilayer network with the far interlayer synaptic connections.

• 東北大学の論文

著者

• Fujiki Sumiyoshi

  Graduate School Of Information Science Tohoku University

• Fujiki Sumiyoshi

  Graduate School Of Information Sciences Tohoku University

• FUJIKI Nahomi

  Sendai National Collage of Technology

• Fujiki Nahomi

  Sendai National College Of Technology

関連論文

• Learning Processes of Layered Neural Networks
• Learning Algorithms of Multilayer Neural Networks
• Monte Carlo Study of the Ferromagnetic Six-State Clock Model on the Triangular Lattice
• A Learning Process of a Stochastic Feed-Forward Neural Network

スポンサーリンク