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

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

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...