Explore MATLAB source code curated for "自适应学习" with clean implementations, documentation, and examples.
This program implements sliding mode control with adaptive learning of upper bounds using RBF neural networks, designed for scenarios where upper bound values cannot be practically measured. The implementation includes neural network-based estimation algorithms and adaptive control law adjustments.
ANFIS (Adaptive Neuro-Fuzzy Inference System) for chaotic time series forecasting with hybrid learning algorithm implementation
Fuzzy Neural Networks combine fuzzy logic and neural networks to create hybrid intelligent systems with adaptive learning and uncertainty handling capabilities.
Design and implementation of CMAC neural network control for robotic arms with MATLAB source code, featuring local approximation principles and hybrid control architectures.
Dynamic Fuzzy Neural Network with Automated Rule Generation
Dynamic Fuzzy Neural Networks - Intelligent systems integrating fuzzy logic and neural networks with adaptive structure optimization