Presentation | 1999/9/21 Searching Ability of a Solution of Combinatorial Optimization Problems by Hysteresis Neural Networks. Kenya Jin'no, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We consider combinational optimization problems solver by using hysteresis neural networks. First, hysteresis neural networks were compared with conventional neural networks. The characteristic of the equilibrium point of these systems is analyzed. And then, hysteresis neural networks can do that the equilibrium point is made to comply only with the optimal solution of a combinatorial optimization problem. Hystsresis neural networks don't guarantee its energy to decrease monotonously. Namely, the output of this system may oscillate. Such oscillational state can be restrained to control the time constant of each hysteresis neuron. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | time constants / neural networks / hysteresis / domain of attraction / combinatorial optimization problems / self connection |
Paper # | NLP99-84 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1999/9/21(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) | Searching Ability of a Solution of Combinatorial Optimization Problems by Hysteresis Neural Networks. |
Sub Title (in English) | |
Keyword(1) | time constants |
Keyword(2) | neural networks |
Keyword(3) | hysteresis |
Keyword(4) | domain of attraction |
Keyword(5) | combinatorial optimization problems |
Keyword(6) | self connection |
1st Author's Name | Kenya Jin'no |
1st Author's Affiliation | Department of Electrical Electronic Engineering, Nippon Institute of Technology() |
Date | 1999/9/21 |
Paper # | NLP99-84 |
Volume (vol) | vol.99 |
Number (no) | 323 |
Page | pp.pp.- |
#Pages | 6 |
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