摘要
分析了基于进化算法的神经网络 ,指出基于遗传算法的神经网络具有强的全局搜索能力 ,基于进化规划的神经网络具有强的局部寻优能力。在此基础上 ,提出了综合上述两种神经网络优点的组合进化神经网络 ,并应用于油水层测井解释中 ,降低了误判率。
After an analysis of evolutionary algorithm-based neural networks, this paper suggests that genetic algorithm-based neural networks have great ability in searching optimal direction globally, while evolutionary programming-based neural networks are powerful in searching the optimal direction locally. By combing the beauty of the kinds of neural networks, we devised a combined evolutionary neural network for discrimination of oil-and-water-bearing formations in the interpretation of log data, thereby the failure rate is decreased.
出处
《石油物探》
EI
CSCD
2001年第4期119-124,140,共7页
Geophysical Prospecting For Petroleum
关键词
组合
遗传算法
进化规划
神经网络
测井解释
油水层识别
combination, genetic algorithm, evolutionary algorithm, neural network, well log interpretation
