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 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.
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Keyword(in English) Tiling problem / Polyomino / Fitting violation function / Analog neural network / Maximum neural network
Paper # NLP95-76
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Committee NLP
Conference Date 1995/11/17(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
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