KTU CS361 Soft Computing (SC) Notes
Notes on KTU CS361 Soft Computing (SC) are available.... Module Syllabus Quick Revision Notes Module 1 Introduction to Soft Computing Artificial neural networks - biological neurons, Basic models of artificial neural networks – Connections, Learning, Activation Functions, McCulloch and Pitts Neuron, Hebb network. Click Here Module 2 Perceptron networks – Learning rule – Training and testing algorithm, Adaptive Linear Neuron, Back propagation Network – Architecture, Training algorithm Click Here Module 3 Fuzzy logic - fuzzy sets - properties - operations on fuzzy sets, fuzzy relations - operations on fuzzy relations Click Here Module 4 Fuzzy membership functions, fuzzification, Methods of membership value assignments – intuition – inference – rank ordering, Lambda – cuts for fuzzy sets, Defuzzification methods Click Here Module 5 Truth values and Tables in Fuz