Presentation 1995/5/19
Extraction properties of frequency components in time series signals for Sandglass Neural Network
Hiroki Yoshimura, Kazuhiro Sugata, Naoki Isu, Tadaaki Shimizu,
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Abstract(in English) The mulitlayer perceptron called by Sandglass Neural Network, whose input layer and output layer have the same number of units and hidden layer has less units than input and output layer, is considered to perform data compression for input signals. We made clear the extraction properties of frequency components in time series signals for Sandglass Neural Network. This Sandglass Neural Network with two hidden units can extracts maximum power component from the numerous frequency components. In this extraction scheme, input signals are transformed by DFT between the input layer and the hidden layer and by IDFT between the hidden layer and the output layer. Connection weights have the function of a revolving facter of DFT. Furthermore, we proposed the cascade model of Sandgalss Neural Networks with two hidden units to pick up the frequency components one after another in order of their power.
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Keyword(in English) neural network / time series signal / principal component analysis / data compression / DFT
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Conference Information
Committee NLP
Conference Date 1995/5/19(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extraction properties of frequency components in time series signals for Sandglass Neural Network
Sub Title (in English)
Keyword(1) neural network
Keyword(2) time series signal
Keyword(3) principal component analysis
Keyword(4) data compression
Keyword(5) DFT
1st Author's Name Hiroki Yoshimura
1st Author's Affiliation Department of Information and Knowledge Engineering, Tottori University()
2nd Author's Name Kazuhiro Sugata
2nd Author's Affiliation Department of Information and Knowledge Engineering, Tottori University
3rd Author's Name Naoki Isu
3rd Author's Affiliation Department of Information and Knowledge Engineering, Tottori University
4th Author's Name Tadaaki Shimizu
4th Author's Affiliation Department of Information and Knowledge Engineering, Tottori University
Date 1995/5/19
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Volume (vol) vol.95
Number (no) 47
Page pp.pp.-
#Pages 8
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