<title>Fuzzy sets and neurocomputation: knowledge-based networks</title>

Fuzzy neural networks combining advantages of numerical computations of neural networks and symbolic processing originating from artificial intelligence are typical constructs of computational intelligence. The paper analyzes basic processing components (fuzzy neurons), proposes several general architectures, elaborates on learning algorithms, and provides a series of application cases.