1- Brief review of fuzzy systems and neural networks. 2- Clustering and fuzzy systems building. Iterative clustering for real-time applications. Growing and pruning in fuzzy rule-bases. 3- Recurrent neural-networks and nonlinear dynamic systems. Recursive training of recurrent and multilayer neural networks. 4- Interpretability and transparency of fuzzy systems. Similarity measures and rule simplification. 5- Neuro-fuzzy systems. Evolving Takagi-Sugeno-Kang systems. 6- Applications and case-studiesin medicine and biology.