发明名称 |
Genetic algorithm based selection of neural network ensemble for processing well logging data |
摘要 |
A system and method for generating a neural network ensemble. Conventional algorithms are used to train a number of neural networks having error diversity, for example by having a different number of hidden nodes in each network. A genetic algorithm having a multi-objective fitness function is used to select one or more ensembles. The fitness function includes a negative error correlation objective to insure diversity among the ensemble members. A genetic algorithm may be used to select weighting factors for the multi-objective function. In one application, a trained model may be used to produce synthetic open hole logs in response to inputs of cased hole log data. |
申请公布号 |
GB2427946(B) |
申请公布日期 |
2008.03.19 |
申请号 |
GB20060020649 |
申请日期 |
2005.03.22 |
申请人 |
HALLIBURTON ENERGY SERVICES, INC. |
发明人 |
DINGDING CHEN;SYED HAMID;HARRY D SMITH JR |
分类号 |
G06F15/18;G06F17/00;G06N3/08 |
主分类号 |
G06F15/18 |
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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