Presentation | 1995/5/19 A constitution method of an optimum FIR filter by use of Sandglass Neural Network Hiroki Yoshimura, Kazuhiro Sugata, Naoki Isu, Tadaaki Shimizu, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We proposed the way of constituting an optimum FIR filter by using the sand glass neural network. We showed through the experiment by use of the signal generated auto-regressive model that our FIR filter can be constituted conveniently to correspond to the frequency characteristics of time series signals inputted at the learning stage. The frequency pass band of our FIR filter can be adjusted by varying the number of units in the input layer. So we can set up the frequency pass band very easily according to the purpose of signal processing. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / FIR filter / auto-regressive model / signal processing / optimization |
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Committee | NLP |
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Conference Date | 1995/5/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A constitution method of an optimum FIR filter by use of Sandglass Neural Network |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | FIR filter |
Keyword(3) | auto-regressive model |
Keyword(4) | signal processing |
Keyword(5) | optimization |
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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