发明名称 |
Recurrent neural network-based fuzzy logic system and method |
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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申请公布号 |
US5828812(A) |
申请公布日期 |
1998.10.27 |
申请号 |
US19950432801 |
申请日期 |
1995.05.02 |
申请人 |
NATIONAL SEMICONDUCTOR CORPORATION |
发明人 |
KHAN, EMDADUR RAHMAN;NEELY, WILLIAM SHIELDS |
分类号 |
G06N3/04;G06N7/04;(IPC1-7):G06E1/00;G06E3/00;G06F15/18;G06G7/00 |
主分类号 |
G06N3/04 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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