Adaptive fuzzy rule-based classification system integrating both expert knowledge and data

• المؤلفون الرئيسيون: Ng, Gee Wah, Tang, Wenyin, Mao, Kezhi, Mak, Lee Onn
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/99301; http://hdl.handle.net/10220/12873
• المؤسسة: Nanyang Technological University

This paper presents an adaptive fuzzy rule-based classification system using a new hybrid modeling method that integrates both expert knowledge and new knowledge learnt from data. Inspired by human learning, the membership functions of fuzzy rules are optimized based on a hybrid error function that...