发明授权
US5311601A Hierarchical pattern recognition system with variable selection weights
失效
具有可变选择权重的分层模式识别系统
- 专利标题: Hierarchical pattern recognition system with variable selection weights
- 专利标题(中): 具有可变选择权重的分层模式识别系统
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申请号: US761759申请日: 1991-11-04
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公开(公告)号: US5311601A公开(公告)日: 1994-05-10
- 发明人: Gail A. Carpenter , Stephen Grossberg
- 申请人: Gail A. Carpenter , Stephen Grossberg
- 申请人地址: MA Boston
- 专利权人: Trustees of Boston University
- 当前专利权人: Trustees of Boston University
- 当前专利权人地址: MA Boston
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06K9/62 ; G06K9/00
摘要:
In a pattern recognition system, input signals are applied to a short term feature representation field of nodes. A pattern from the short term feature representation field selects at least one category node in a category representation field. The selected category then generates a template pattern. With an insufficient match between the input pattern and template pattern, the category selection is reset. Category selection is based on selection weights which are initially set equal to long term memory weights. After reset, however, selections weights are reduced. Reduction is greatest at those nodes where excitation in F.sub.2 was greater prior to reset. The category representation field is of the same form as the field which receives the input and may itself serve as an input to a higher level pattern recognition system.
公开/授权文献
- USPP10299P Coreopsis plant named `Walcoreop` 公开/授权日:1998-03-24
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