Automatic generation of fuzzy neural networks via reinforcement learning with applications in path planning of mobile robots

• Main Author: Zhou, Yi
• Other Authors: Er, Meng Joo
• Format: Theses and Dissertations
• Language: English
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics; DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: https://hdl.handle.net/10356/13267
• Institution: Nanyang Technological University

In this thesis, a novel Reinforcement Learning (RL) methodology, termed Dynamic Self-Generated Fuzzy Q-Learning (DSGFQL) is developed for generating Fuzzy Neural Networks (FNNs). In the DSGFQL system, RL is adopted for both structure identification and parameters estimation of FNNs. Structure...