Presentation | 1994/12/16 Transient analysis of stiff circuits by using modified backward Euler algorithm Hiroshi Kubo, Hiroyuki Nakajima, Yoshisuke Ueda, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Learning continuous dynamical systems with a scalar-valued teacher signal by threelayered recurrent neural networks(RNN)is argued.The learning of dynamical systems is defined as giving appropriate connection weights so that a RNN and the target system become C^∞ -conjugate.Next,It is pointed out that diffeomorphism f rom the state space of the target system to that of the RNN can be described with operators on scalar functions.Finally,a RNN with a structure on the basis of the convolution operator is proposed and some numerical examples are shown. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / continuous dyhamical System / operator / Convolution / embedding |
Paper # | NLP94-72 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1994/12/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Transient analysis of stiff circuits by using modified backward Euler algorithm |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | continuous dyhamical System |
Keyword(3) | operator |
Keyword(4) | Convolution |
Keyword(5) | embedding |
1st Author's Name | Hiroshi Kubo |
1st Author's Affiliation | Department of Electricul Engineering II,Faculty of Engineering, Kyoto University() |
2nd Author's Name | Hiroyuki Nakajima |
2nd Author's Affiliation | Department of Electricul Engineering II,Faculty of Engineering, Kyoto University |
3rd Author's Name | Yoshisuke Ueda |
3rd Author's Affiliation | Department of Electricul Engineering II,Faculty of Engineering, Kyoto University |
Date | 1994/12/16 |
Paper # | NLP94-72 |
Volume (vol) | vol.94 |
Number (no) | 418 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |