人工神经网络课后作业
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2
3. Show that two class of patterns below are not linearly separable.
1 1 1 1 class I : X 1 , X 2 d1 1 1 1 1 1 1 1 1 1 class II : Y1 , Y2 d 2 1 1 1 1 1
1
1Leabharlann Baidu
-1
1
1
1
y sgn(w1x1 w2 x2 )
where the adaline network :
4
Homework 1
1. Determine a single-layer perceptron neural network to classify the two-class patterns: A: {0,0), (0.5,0), (0,0.5)} B: {1, 0.5), (0.5,1), (1,1)} where
y = ( w1 x1 w2 x2 θ),
1 x0 ( x) 0 x 0
1
2. Showing that a multilayer perceptron neural network with linear activation function is equivalent to a single-layer perceptron network.
3
4. Using adaline learning algorithm to determine the weights and bias of the adaline network for solving the OR problem given below
x1
-1 -1
x2
-1 1
t
-1 1