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.
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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 |
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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