A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties
This paper presents an innovative hybrid of Functional Networks and Support Vector Machines (FN-SVM) as an improvement over an existing Functional Networks and Type-2 Fuzzy Logic (FN-T2FL) hybrid model. The former is more promising as it combines two existing techniques that are very close in perfor...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://ir.unimas.my/8480/ http://ir.unimas.my/8480/ http://ir.unimas.my/8480/1/A%20Hybrid%20of%20Functional%20Networks%20and%20Support%20Vector%20Machine%20models%20for%20the%20prediction%20of%20petroleum%20reservoir%20properties%20%28abstract%29.pdf |