Presentation | 2002/11/4 A Forward-propagation Rule for Learning Inverse Models based on Adaptive Filter Theory Yoshihiro OHAMA, Naohiro FUKUMURA, Yoji UNO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Human motor control consists of feedback control and feedforward control. When a feedforward controller controls a dynamical system to follow planned trajectories, the feedforward controller can be regarded as an inverse model about the dynamical system. Thus, the motor control must contain such suitable inverse models trained in some schemes. We have proposed a Forward-propagation learning scheme to acquire neural inverse models of controlled objects. In this report, we develop this scheme in a framework of adaptive filter theory and confirm by computer simulation that the proposed scheme can acquire suitable inverse models. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Forward-propagation rule / inverse model / layered neural network / adaptive filter / system identification / RLS algorithms |
Paper # | NC2002-69 |
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Committee | NC |
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Conference Date | 2002/11/4(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Forward-propagation Rule for Learning Inverse Models based on Adaptive Filter Theory |
Sub Title (in English) | |
Keyword(1) | Forward-propagation rule |
Keyword(2) | inverse model |
Keyword(3) | layered neural network |
Keyword(4) | adaptive filter |
Keyword(5) | system identification |
Keyword(6) | RLS algorithms |
1st Author's Name | Yoshihiro OHAMA |
1st Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology() |
2nd Author's Name | Naohiro FUKUMURA |
2nd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
3rd Author's Name | Yoji UNO |
3rd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
Date | 2002/11/4 |
Paper # | NC2002-69 |
Volume (vol) | vol.102 |
Number (no) | 430 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |