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《Journal of Changchun University of Science and Technology》 2003-01
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A STUDY OF USING IMPROVED FUZZY NEUAL NETWORK TO FORECAST RESERVOIR PRODUCTIVITY

YANG Changbao, NIE Lanshi, SUN Pengyuan(College of GeoExploration Science and Technology, Jilin University, Changchun130026,China)  
The denominator of generally neural network output often tends to be zero,leading to infinite loop when training sample data. The reliability of results is debased. Improved fuzzy neural network model gets over such shortcoming. It has absolute convergence. In this model, we can easily adjust the number of nerve cells of hidden layer. This model is used to forecast reservoir productivity. Application results show that the accuracy is over 95 percent. 
【CateGory Index】: P618.13
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