Neural Networks & Fuzzy Logic
- Introduction-
Basic concepts and models-
Perceptron and feed forward nn-
BP learning algorithms-
Feedback nn-
Recurrent nn-
Recurrent alg, SA, and Lyaponov fn-
Basic concepts of fuzzy set-
Relation, number, algebra and logic of fuzzy-
Neuro fuzzy network and its application in classification, pattern recognition and medical diagnosis-