Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2003.07e
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- Pages.2367-2370
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- 2003
Pattern Classification with the Analog Cellular Parallel Processing Networks
아날로그 셀룰라 병렬 처리 회로망(CPPN)을 이용한 Pattern Classification
Abstract
A fast pattern classification algorithm with Cellular Parallel Processing Network-based dynamic programming is proposed. The Cellular Parallel Processing Networks is an analog parallel processing architecture and the dynamic programming is an efficient computation algorithm for optimization problem. Combining merits of these two technologies, fast Pattern classification with optimization is formed. On such CPPN-based dynamic programming, if exemplars and test patterns are presented as the goals and the start positions, respectively, the optimal paths from test patterns to their closest exemplars are found. Such paths are utilized as aggregating keys for the classification. The pattern classification is performed well regardless of degree of the nonlinearity in class borders.
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