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...
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| Main Authors: | , , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8480/1/Fatai%20Anifowose.pdf http://ir.unimas.my/id/eprint/8480/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6122085 |
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