发明名称 Physics based neural network
摘要 A physics based neural network (PBNN) (20) comprising a plurality of nodes (29, 31, 33, 35) each node comprising structure for receiving at least one input (25), and a transfer function for converting the at least one input (25) into an output (22) forming one of the at least one inputs to another one of the plurality of nodes, at least one training node set comprising the at least one input (21) to one of the plurality of nodes, at least one input node set comprising the at least one input to the plurality of nodes, and a training algorithm for adjusting each of the plurality of nodes, wherein at least one of the transfer functions is different from at least one other of the transfer functions and wherein at least one of the plurality of nodes is a PBNN. <IMAGE>
申请公布号 EP1418539(A2) 申请公布日期 2004.05.12
申请号 EP20030256157 申请日期 2003.09.30
申请人 UNITED TECHNOLOGIES CORPORATION 发明人 DEPOLD, HANS R.;SIRAG, DAVID J.
分类号 G06N3/04;G06N3/08;(IPC1-7):G06N3/04 主分类号 G06N3/04
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