Presentation 1994/6/28
On the Number of Hidden Units of a Neural Network Realizing Symmetric Boolean Functions
Akira Hayashi,
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Abstract(in English) Rumelhart,Hinton and Williams claimed that at least n hidden units were required to solve the n-bit parity problem by a 3-layer neural network with no direct connection between the input and output units.We propose a 3-layer network with just 2 hidden units of which assumed input-output characteristics is different from the usual logistic function.
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Keyword(in English) neural networks / parity function / hidden units
Paper # NC94-23
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Committee NC
Conference Date 1994/6/28(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Number of Hidden Units of a Neural Network Realizing Symmetric Boolean Functions
Sub Title (in English)
Keyword(1) neural networks
Keyword(2) parity function
Keyword(3) hidden units
1st Author's Name Akira Hayashi
1st Author's Affiliation Kanazawa Institute of Technology()
Date 1994/6/28
Paper # NC94-23
Volume (vol) vol.94
Number (no) 129
Page pp.pp.-
#Pages 5
Date of Issue