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computational_intelligence.docx

- Computational Intelligence

Homework Assignment

Train a neuron using the Perceptron Learning Rule, taking:

c = 1

w1 = [0 1 0]t

( x1 = [2 1 -1]t , d1 = -1 )

( x2 = [0 -1 -1]t , d2 = 1 )

Repeat the (x1, d1), (x2, d2) sequence until you obtain the correct outputs. Do not use a computer (except for typing).

Implement a classifier for characters L and I using the discrete perceptron learning algorithm. You may use any implementation, including the one in Ch. 2 (textbook).

Specifications:

· Use a 3 x 3 binary matrix representation.

· Your neural network should have one neuron.

What happens when the letters are “noisy”?

Turn in the hard copy of the code and the numerical results.

p

You may use any implementation, including the ones in Ch. 3 (textbook) and Weka.

Turn in the numerical results, function plots, and your conclusions. Describe which implementation you have used and, if it is your code, attach it.