发明名称 |
Rapidly trainable neural tree network |
摘要 |
An apparatus and methods characterized by an electric neural network including a node having multipliers respectively receiving signals representing feature vector elements and signals representing weight vector elements to produce product signals, a summer to add the product signals with a bias signal and output a sum signal to a hard limiter, the hard limiter for outputting a preliminary output signal of polarity. In response to the output signal of polarity, one of at least two logic branches is enabled. In response to such enabling, weight elements are assigned to a next weight vector to be used in subsequent processing by the one of the at least two logic branches until a label is to be produced.
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申请公布号 |
US5634087(A) |
申请公布日期 |
1997.05.27 |
申请号 |
US19930159397 |
申请日期 |
1993.11.29 |
申请人 |
RUTGERS UNIVERSITY |
发明人 |
MAMMONE, RICHARD J.;SANKAR, ANANTH;FARRELL, KEVIN R. |
分类号 |
G06N3/063;(IPC1-7):G06F15/18 |
主分类号 |
G06N3/063 |
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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