Presentation | 1998/2/5 An Optimization Problems Solver using a Neural Network Aya Suzuki, Kenya jinno, Mamoru Tanaka, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This article consider an optimization problems solver using a neural network. Tank and Hopfield have proposed a linear programming solver with a neural network. The network can seek a minimum of an energy function, but they did not prove that this minimum corresponds to the solution of the problems. In this article, we popopose a novel synthesis procedure which can seek a minimum of a cost function for an optimization problems. Our system does not define the energy function, then the system may have an oscillating state. However, this system guantees that a fixed point corresponds to a minimum of a cost function. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | optimization problems / neural networks / fixed point / oscillate |
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Committee | NLP |
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Conference Date | 1998/2/5(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) | An Optimization Problems Solver using a Neural Network |
Sub Title (in English) | |
Keyword(1) | optimization problems |
Keyword(2) | neural networks |
Keyword(3) | fixed point |
Keyword(4) | oscillate |
1st Author's Name | Aya Suzuki |
1st Author's Affiliation | Department of Electrical Electronic Engineering, Sophia University() |
2nd Author's Name | Kenya jinno |
2nd Author's Affiliation | Department of Electrical Electronic Engineering, Sophia University |
3rd Author's Name | Mamoru Tanaka |
3rd Author's Affiliation | Department of Electrical Electronic Engineering, Sophia University |
Date | 1998/2/5 |
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Volume (vol) | vol.97 |
Number (no) | 530 |
Page | pp.pp.- |
#Pages | 6 |
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