发明名称 Neural network based predication and optimization for groundwater / surface water system
摘要 The present invention relates to a method and apparatus, based on the use of a neural network (NN), for (a) predicting important groundwater/surface water output/state variables, (b) optimizing groundwater/surface water control variables, and/or (c) sensitivity analysis, to identify physical relationships between input and output/state variables used to model the groundwater/surface water system or to analyze the performance parameters of the neural network.
申请公布号 US2003078901(A1) 申请公布日期 2003.04.24
申请号 US20020277595 申请日期 2002.10.22
申请人 COPPOLA EMERY J.;POULTON MARY M.;SZIDAROVSZKY FERENC 发明人 COPPOLA EMERY J.;POULTON MARY M.;SZIDAROVSZKY FERENC
分类号 G01V9/02;(IPC1-7):G06E1/00;G06E3/00;G06G7/00;G06F15/18 主分类号 G01V9/02
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