Presentation | 1994/3/25 AUTO-SELECTION OF ACTIVATION FUNCTIONS IN MULTILAYER NEURAL NETWORKS APPLIED TO PATTERN CLASSIFICATION Yoshinori Kimura, Kenji Nakayama, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Minimization of hidden units by auto-selecting optimum activation functions is discussed for multilayer neural networks applied to pattern classification.Three typical functions, including sigmoid,sinusoidal and Gaussian functions are employed. They have unique property for space division.Thus,a wide range of problems can be solved by combining these functions.Three functions are used in a hidden layer.One hidden unit has one of three functions.Efficiency of each function is evaluated using three criteria,similar to the conventional.The useful functions are selected in the learning process.Parity problem,counting 1 in bit-patterns and other two-dimensional classification problems can be solved with the minimum hidden units. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multilayer neural network / Activation functions / Pattern classification / Minimum realization / Optimization |
Paper # | NC93-116 |
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Conference Information | |
Committee | NC |
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Conference Date | 1994/3/25(1days) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | AUTO-SELECTION OF ACTIVATION FUNCTIONS IN MULTILAYER NEURAL NETWORKS APPLIED TO PATTERN CLASSIFICATION |
Sub Title (in English) | |
Keyword(1) | Multilayer neural network |
Keyword(2) | Activation functions |
Keyword(3) | Pattern classification |
Keyword(4) | Minimum realization |
Keyword(5) | Optimization |
1st Author's Name | Yoshinori Kimura |
1st Author's Affiliation | Department of Electrical and Computer Engineering,Faculty of Technology,Kanazawa University() |
2nd Author's Name | Kenji Nakayama |
2nd Author's Affiliation | Department of Electrical and Computer Engineering,Faculty of Technology,Kanazawa University |
Date | 1994/3/25 |
Paper # | NC93-116 |
Volume (vol) | vol.93 |
Number (no) | 537 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |