Seismic signals are directly affected by the rock and the physical character of liquid. The extraction of information about rock and deposit from the seismic data is of great realistic significance. There exist nonlinear relationships between the seismic attributes, which are affected obviously by the environment. BP algorithm can establish the high nonlinear mapping between the object and the seismic attributes. GA algorithm can select the survival of the fittest. The BP algorithm can quickly converge, and the GA can globally search the fittest result in all data. The improvement of BP algorithm and the application of the GA+BP hybrid algorithm in inter-bed prediction can achieve a satisfactory result.
刘洪林, 胡建, 王金山, 朱秋影. GA+BP神经网络在薄互层储层预测中的应用[J]. 物探与化探, 2004, 28(5): 460-462,470.
LIU Hong-lin, HU Jian, WANG Jin-shan, ZHU Qiu-ying. THE APPLICATION OF GA+BP HYBRID NEURAL NETWORK TO INTER-BED DEPOSIT PREDICTION. Geophysical and Geochemical Exploration, 2004, 28(5): 460-462,470.