Presentation 2001/5/18
A Synthesis and Learning Method for Multilayer Neural Networks Embedding Gate Elements and with Multidimensional Inputs
Makoto Kourin, Kenji Nakayama, Akihiro Hirano,
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Abstract(in English) In this paper, a synthesis and learning method for the neural network with embedded gate units and having multi-dimensional input is proposed. In multi-dimensional input, gate functions are controlled in multi-dimensional space. In this case, the direction of the gate function should be considered. Furthermore, the switching points should be considered on the u_j axis, which is the input potential of the hidden units. The initialization and control methods for gate functions including the direction, the switching point and te inclination, are proposed. The stabilization methods, which were proposed, are modified taking multi-dimensional input into account. The gate functions can be trained together with the connection weights. Discontinuous function approximation is demonstrated to confirm usefulness of the proposed method.
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Keyword(in English) Neural networks / Modular networks / Gates / Sigmoid functions / Learning / Discontinuous functions
Paper # NC2001-6
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Committee NC
Conference Date 2001/5/18(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Synthesis and Learning Method for Multilayer Neural Networks Embedding Gate Elements and with Multidimensional Inputs
Sub Title (in English)
Keyword(1) Neural networks
Keyword(2) Modular networks
Keyword(3) Gates
Keyword(4) Sigmoid functions
Keyword(5) Learning
Keyword(6) Discontinuous functions
1st Author's Name Makoto Kourin
1st Author's Affiliation Division of Electronics and Computer Science, Graduate School of Natural Science and Technology Kanazawa University()
2nd Author's Name Kenji Nakayama
2nd Author's Affiliation Dept. of Information and Systems Eng. Faculty of Eng. Kanazawa University
3rd Author's Name Akihiro Hirano
3rd Author's Affiliation Dept. of Information and Systems Eng. Faculty of Eng. Kanazawa University
Date 2001/5/18
Paper # NC2001-6
Volume (vol) vol.101
Number (no) 94
Page pp.pp.-
#Pages 8
Date of Issue