Presentation | 2002/3/12 The Method to solve Optimization Problems on a Neural Network using Inverse Delayed Model Yoshihiro HAYAKAWA, Koji NAKAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is an elementary assumption to have two states resting and excitation for neurons in the past network models. And it seems few discussions have been presented what rolls the neuron in the critical state has on the network actions. Therefore, we have presented the novel model (Inverse Delayed Model) to represent neurons in the critical state, and discuss the fundamental characteristics of the ID model. In this paper, we discuss to use the characteristic of the ID model's negative resistance for escaping from local minima of the optimization problem on a neural network. As a result we present the neural network using ID model to be able to answer correct solution in an only fixed state of this network by setting status of local minimum in negative resistance region. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Networks / Negative Resistance / Optimization Problem / BVP model |
Paper # | NC2001-187 |
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Committee | NC |
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Conference Date | 2002/3/12(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | The Method to solve Optimization Problems on a Neural Network using Inverse Delayed Model |
Sub Title (in English) | |
Keyword(1) | Neural Networks |
Keyword(2) | Negative Resistance |
Keyword(3) | Optimization Problem |
Keyword(4) | BVP model |
1st Author's Name | Yoshihiro HAYAKAWA |
1st Author's Affiliation | Laboratory for Electronic Intelligent Systems Research Institute of Electrical Communication, Tohoku University() |
2nd Author's Name | Koji NAKAJIMA |
2nd Author's Affiliation | Laboratory for Electronic Intelligent Systems Research Institute of Electrical Communication, Tohoku University |
Date | 2002/3/12 |
Paper # | NC2001-187 |
Volume (vol) | vol.101 |
Number (no) | 736 |
Page | pp.pp.- |
#Pages | 8 |
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