DocumentCode
2823836
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
Volume
2
fYear
2009
fDate
24-26 April 2009
Firstpage
850
Lastpage
852
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.115
Filename
5194077
Link To Document