发明名称 |
Physics based neural network for validating data |
摘要 |
A physics based neural network (PBNN) for validating data in a physical system comprising a plurality of input nodes each receiving at least one input comprising an average measurement of a component and a standard deviation measurement of a component of the physical system and comprising a transfer function for converting the at least one input into an output, a plurality of intermediate nodes each receiving at least one output from at least one of the plurality of input nodes and comprising a transfer function embedded with knowledge of the physical system for converting the at least one output into an intermediate output, and a plurality of output nodes each receiving at least one intermediate outputs from the plurality of intermediate nodes and comprising a transfer function for outputting the average measurement of a component when the transfer function evaluates to a value greater than zero wherein the PBNN is trained with a predetermined data set.
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申请公布号 |
US2004064426(A1) |
申请公布日期 |
2004.04.01 |
申请号 |
US20020261237 |
申请日期 |
2002.09.30 |
申请人 |
DEPOLD HANS R.;SIRAG DAVID JOHN |
发明人 |
DEPOLD HANS R.;SIRAG DAVID JOHN |
分类号 |
G06N3/02;G06N3/04;(IPC1-7):G06N5/02;G06E1/00;G06E3/00;G06F15/18;G06F17/00;G06G7/00 |
主分类号 |
G06N3/02 |
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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