Friday, September 15, 2017

Soft Computing S5 CS Notes Module 1 & 2

Soft Computing

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. 
Perceptron networks – Learning rule – Training and testing
algorithm, Adaptive Linear Neuron, Back propagation Network – Architecture, Training algorithm.

Set-1
ktu business economics hs200 note mod 6

Set-2
ktu business economics hs200 note mod 6


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