Monthly Archives: May 2016

Soft Computing: answers to Qbank

click to download anwers for

Radial basis function networks

Delta learning rule (generalized delta learning rule, single layer, multi layer delta nw)

Error back propogation training algorithm

Genetic Algorithm (generate population question)

Hopfield networks

Perceptron networks (perceptron learning rule, single class, multi class perceptron nw)

Let x={a,b,c}
and y={d,e,f,g}
and R be the relation on x& y as
R is subset of cross product of x, y (x X y)
Then projection P(x)= max (R(x,y)) for all values of y
Global projection P(x,y) = max(R(x,y)) for all values of x and y
Example
R=[ 1.0 0.8 0.3 0.4
0.9 0.2 0.3 1.0
0.2 0.4 0.5 0.6]
Then
P(a)= max(1.0, 0.8, 0.3, 0.4)=1.0
P(e)=max(0.8, 0.2, 0.4)=0.8

Global projection=1.0

And cylindrical extention is cynR(x,y) = membership value of x

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