The evolving Mamdani-Takagi-Sugeno neural-fuzzy inference system and its applications in the financial domain

The evolving Mamdani-Takagi-Sugeno neural-fuzzy inference system and its applications in the financial domain

This thesis presents a novel neural-fuzzy network architecture named the evolving Mamdani-Takagi-Sugeno neural fuzzy inference system (eMTSFIS) that seeks to address two deficiencies faced by neural-fuzzy systems. Firstly, the dynamic nature of real-world problems demands that neural-fuzzy systems b...

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Bibliographic Details
Main Author: Ho, Stanley Weng Luen.
Other Authors: Quek Hiok Chai
Format: Final Year Project (FYP)
Language:English
Published: 2010
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/40209

Internet

http://hdl.handle.net/10356/40209

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