Title :
Seismic Reservoir Fuzzy Rules Extraction Based on GA-BP FNN
Author :
Du, Chunli ; Cheng, Jinhua
Author_Institution :
Coll. of Econ. & Manage., China Univ. of Geosci., Wuhan, China
Abstract :
In this paper, a new method has been prospered to generate fuzzy rules using a GA-BP FNN algorithm for seismic reservoir fuzzy rules extraction. This method aims to combine the advantages of FS, ANN, and GA algorithms and to remedy their drawbacks. The hybrid algorithm can optimize not the number of rules but the membership functions of the premise and the outputs layer weighs by adopting multi-encoding of GA.
Keywords :
backpropagation; fuzzy neural nets; genetic algorithms; geophysics computing; hydrocarbon reservoirs; ANN; GA-BP FNN; artificial neural nets; backpropagation; fuzzy neural nets; genetic algorithm; membership functions; seismic reservoir fuzzy rules extraction; Clustering algorithms; Decision making; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Machine learning; Optimization methods; Petroleum; Reservoirs; Uncertainty;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.115
