Complex pattern recognition and evaluation : a knowledge-based approach to computer chess

This thesis describes how existing knowledge of certain positional features of a chess game can be implemented in a parallel evaluation function using the SIMD model. Since SMID machines are very efficient in pattern matching, it is possible to examine thousands of feature patterns associated with c...

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主要作者: Ravindra Lal Weeraratne Koggalage
其他作者: Goh, Wee Leng
格式: Theses and Dissertations
出版: 2008
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在線閱讀:http://hdl.handle.net/10356/3177
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spelling sg-ntu-dr.10356-31772023-07-04T15:11:59Z Complex pattern recognition and evaluation : a knowledge-based approach to computer chess Ravindra Lal Weeraratne Koggalage Goh, Wee Leng School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition This thesis describes how existing knowledge of certain positional features of a chess game can be implemented in a parallel evaluation function using the SIMD model. Since SMID machines are very efficient in pattern matching, it is possible to examine thousands of feature patterns associated with chess positions in parallel. Master of Engineering 2008-09-17T09:24:02Z 2008-09-17T09:24:02Z 2001 2001 Thesis http://hdl.handle.net/10356/3177 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Ravindra Lal Weeraratne Koggalage
Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
description This thesis describes how existing knowledge of certain positional features of a chess game can be implemented in a parallel evaluation function using the SIMD model. Since SMID machines are very efficient in pattern matching, it is possible to examine thousands of feature patterns associated with chess positions in parallel.
author2 Goh, Wee Leng
author_facet Goh, Wee Leng
Ravindra Lal Weeraratne Koggalage
format Theses and Dissertations
author Ravindra Lal Weeraratne Koggalage
author_sort Ravindra Lal Weeraratne Koggalage
title Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
title_short Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
title_full Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
title_fullStr Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
title_full_unstemmed Complex pattern recognition and evaluation : a knowledge-based approach to computer chess
title_sort complex pattern recognition and evaluation : a knowledge-based approach to computer chess
publishDate 2008
url http://hdl.handle.net/10356/3177
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