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
WO2005098647(A3)
申请公布日期
2009.04.16
申请号
WO2005US09494
申请日期
2005.03.22
申请人
HALLIBURTON ENERGY SERVICES, INC.;CHEN, DINGDING;HAMID, SYED;SMITH, HARRY, D., JR.