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- W2393274417 abstract "Due to the anisotropy of reservoir,using the linear method it is difficult to get actual reservoir characteristics.On the basis of a combine of genetic algorithm and BP neural network,the global random hunting function of the genetic algorithm is used to optimize neural network connection weights and threshold,which enhances the network tranining precision and parameters prediction accuracy,and as well,increases computing speed by avoiding its disadvantages that standard BP algorithm is apt to trap in local minimal solution.At the same time,we define the similarity in well logging and its calculation formula,and propose a predicting method to combine similarity and Genetic Neural Network.Compared with real samples,the predictive accuracy is higher and effectively controlled,enhance the neural network prediction accuracy." @default.
- W2393274417 created "2016-06-24" @default.
- W2393274417 creator A5069161642 @default.
- W2393274417 date "2012-01-01" @default.
- W2393274417 modified "2023-09-24" @default.
- W2393274417 title "Application of Similarity-Genetic Neural Network to Reservoir Parameters Prediction" @default.
- W2393274417 hasPublicationYear "2012" @default.
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