MI60008: Soft Computing For Georesources

MI60008
Course name	Soft Computing For Georesources
Offered by	Mining Engineering
Credits	3
L-T-P	3-0-0
Previous Year Grade Distribution
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Semester	Spring

Syllabus

Syllabus mentioned in ERP

Identification of classification and Regression problems in Mineral Industry , Neural networks for classification and regression analysis, Concept of single layer and multilayer perceptron, Training of neural network, Backpropagation learning, variations of Backpropagation learning, Unsupervised learning and Kohonen network, Introduction to RBF network, Covers theorem for classification, RBF network and illposed problem, RBF network for classification and Regression, Introduction to Support vector machines, Statistical learning theory, VC dimension, Support Vector Regression, Evolutionary algorithms: ES, EP, GA, GP, Simulated Annealing. Introduction to Fuzzy Set Theory-Fuzzy set, Crisp sets, Relations between them. Fuzzy systemsCrisp logic, Predicate logic, Fuzzy logic, Fuzzy rule based system and Defuzzification system and applications.