Development of a self-organized neuro-fuzzy model by using genetic algorithm for system identification

Physics & Astronomy

• system identification 100%
• membership functions 89%
• genetic algorithms 82%
• logic 70%
• difference equations 23%
• learning 19%
• performance 8%

Engineering & Materials Science

• Identification (control systems) 64%
• Fuzzy logic 63%
• Membership functions 56%
• Genetic algorithms 51%
• Difference equations 22%
• Neural networks 22%
• Learning algorithms 15%

Earth & Environmental Sciences

• fuzzy mathematics 83%
• genetic algorithm 70%
• artificial neural network 16%
• modeling 15%
• learning 14%
• parameter 6%