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Adaptive neuro fuzzy inference system (ANFIS)

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TL;DR. ANFIS integrates neural networks and fuzzy logic to approximate nonlinear functions and learn from data.

Technical Definition

ANFIS integrates neural networks and fuzzy logic to approximate nonlinear functions and learn from data.

How it works

Adaptive Neuro Fuzzy Inference System (ANFIS) is a hybrid system that combines the learning capabilities of neural networks with the rule-based reasoning of fuzzy logic. It excels at approximating complex nonlinear functions and is frequently used for tasks requiring both precise modeling and human-like decision-making.

Related Concepts

  • Fuzzy logic — A logic system that uses 'degrees of truth' between 0 and 1, allowing for imprecise reasoning.

Further Reading

  • Wikipedia — Glossary of AI