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...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | Theses and Dissertations |
| منشور في: |
2008
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10356/3177 |
| الوسوم: |
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| المؤسسة: | Nanyang Technological University |
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sg-ntu-dr.10356-3177 |
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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 |
| _version_ |
1772825574678462464 |