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Soft Computing Techniques
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Exp Soft Computing Techniques Simulation Trainer Model
1 Implement simple logic network using MP neuronmodel SOFTCOMP100 2 Implement a simple linear regressor with a single neuron model 3 Implement and test MLP trained with backpropagation algorithm 4 Implement and test RBF network 5 Implement SOFM for character recognition 6 Implement fuzzy membership functions (triangular, trapezoidal, gbell, PI, Gamma, Gaussian) 7 Implement defuzzyfication (Max-membership principle, Centroid method, Weighted average method) 8 Implement FIS with Mamdaniinferencing mechanism 9 A small project: may include classification or regression problem , using any soft computing technique studied earlier
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