Adaptive neuro-fuzzy inference system (ANFIS)

An Adaptive Neuro-Fuzzy Inference System (ANFIS) blends neural networks and fuzzy logic to model complex systems. It learns from data by adjusting rules and parameters, enabling it to make predictions or decisions similar to human reasoning. Think of it as a system that captures expert knowledge in the form of fuzzy rules and improves its accuracy through learning, making it useful for tasks like forecasting, classification, or control where uncertainty and variability are present. Essentially, ANFIS combines the intuition of fuzzy logic with the learning ability of neural networks to solve real-world problems more effectively.