Adaptive Neuro-Fuzzy Inference System — гибридная модель, объединяющая обучение нейронных сетей с рассуждением на основе нечеткой логики. Обычно она использует нечеткие правила IF-THEN с обучаемыми параметрами для аппроксимации нелинейных функций и поддержки интерпретируемых процессов принятия решений.
(Also adaptive network-based fuzzy inference system.) A kind of artificial neural network that is based on Takagi–Sugeno fuzzy inference system. The technique was developed in the early 1990s. Since it integrates both neural networks and fuzzy logic principles, it has potential to capture the benefits of both in a single framework. Its inference system corresponds to a set of fuzzy IF–THEN rules that have learning capability to approximate nonlinear functions. Hence, ANFIS is considered to be a universal estimator. For using the ANFIS in a more efficient and optimal way, one can use the best p