Question 1. Consider the RBFNN example solved for XOR problem in the class. Design a different RBFNN with different weig

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answerhappygod
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Question 1. Consider the RBFNN example solved for XOR problem in the class. Design a different RBFNN with different weig

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Question 1. Consider the RBFNN example solved for XOR
problem in the class. Design a different
RBFNN with different weights to simulate XOR gate. Show that your
neural network simulates the
XOR gate
Question 2. Consider the mutli-layer NN example solved for
XOR problem in the class. Design a
different mutli-layer NN with different weights to simulate XOR
gate. Show that your neural
network simulates the XOR gate .
Question 3. Design a multi-layer perceptron to simulate OR
gate. Error minimization and weight
updating should be used at least one time to the designed architure
and weights. Show that your
neural network simulates the OR gate
Note: Your are free to determine any parameter, weight and
threshold value if required.
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