Presentation | 1995/11/17 Analog Neuro-Based Tiling Algorithm Using Fitting Violation Function of Polyominoes Takeshi NAKAYAMA, Hiroshi NINOMIYA, Hideki ASAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a neuro-based optimization algorithm for tiling with polyominoes. First, we review the previous neuro-based parallel algorithm for tiling problem where 1 x m x n maximum neural array is required for an m x n checkerboard. Next, we propose a robust neuro-based tiling algorithm using the modified energy function which includes the fitting violation function of the polyominoes and the analog neural array. Finally, we compare our algorithm with the previous one and show that our method is much more vigorous and practical for larger tiling problems. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Tiling problem / Polyomino / Fitting violation function / Analog neural network / Maximum neural network |
Paper # | NLP95-76 |
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Committee | NLP |
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Conference Date | 1995/11/17(1days) |
Place (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) | Analog Neuro-Based Tiling Algorithm Using Fitting Violation Function of Polyominoes |
Sub Title (in English) | |
Keyword(1) | Tiling problem |
Keyword(2) | Polyomino |
Keyword(3) | Fitting violation function |
Keyword(4) | Analog neural network |
Keyword(5) | Maximum neural network |
1st Author's Name | Takeshi NAKAYAMA |
1st Author's Affiliation | Department of System Engineering, Faculty of Engineering, Shizuoka University() |
2nd Author's Name | Hiroshi NINOMIYA |
2nd Author's Affiliation | Department of System Engineering, Faculty of Engineering, Shizuoka University |
3rd Author's Name | Hideki ASAI |
3rd Author's Affiliation | Department of System Engineering, Faculty of Engineering, Shizuoka University |
Date | 1995/11/17 |
Paper # | NLP95-76 |
Volume (vol) | vol.95 |
Number (no) | 368 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |