发明授权
- 专利标题: Recurrent neural network-based fuzzy logic system and method
- 专利标题(中): 循环神经网络模糊逻辑系统及方法
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申请号: US432801申请日: 1995-05-02
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公开(公告)号: US5828812A公开(公告)日: 1998-10-27
- 发明人: Emdadur Rahman Khan , William Shields Neely
- 申请人: Emdadur Rahman Khan , William Shields Neely
- 申请人地址: CA Santa Clara
- 专利权人: National Semiconductor Corporation
- 当前专利权人: National Semiconductor Corporation
- 当前专利权人地址: CA Santa Clara
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06N7/04 ; G06E1/00 ; G06E3/00 ; G06F15/18 ; G06G7/00
摘要:
A recurrent, neural network-based fuzzy logic system includes in a rule base layer and a membership function layer neurons which each have a recurrent architecture with an output-to-input feedback path including a time delay element and a neural weight. Further included is a recurrent, neural network-based fuzzy logic rule generator wherein a neural network receives and fuzzifies input data and provides data corresponding to fuzzy logic membership functions and recurrent fuzzy logic rules.
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