List of practicals
1. First practical program - To study basics of MATLAB.
Click here
2. Second practical - Write a program in MATLAB for the McCulloch-Pitts Neuron model.
Write code for
1. 2 inputs OR case
2. 2 inputs AND case
3. NOT case
4. 2 inputs NOR case
5. 2 inputs NAND case
6. 3 inputs AND case
7. 3 inputs OR case
8. 3 inputs NOR case
9. 3 inputs NAND case
3. Third Practical - Write a program in MATLAB for Hebbian and perception learning rule.
A. Discrete/Threshold type activation function
1. Unipolar (means 0 to 1)
2. Bipolar (means -1 to 1)
B. Continuous type activation function
1. Unipolar (means 0 to 1)
2. Bipolar (means -1 to 1)
C. Ramp/Linear type activation function
1. Unipolar (means 0 to 1)
2. Bipolar (means -1 to 1)
Take example as
X1=[1;-2;1.5;0]
W1=[1;-1;0;0.5]
1. First practical program - To study basics of MATLAB.
Click here
2. Second practical - Write a program in MATLAB for the McCulloch-Pitts Neuron model.
Write code for
1. 2 inputs OR case
2. 2 inputs AND case
3. NOT case
4. 2 inputs NOR case
5. 2 inputs NAND case
6. 3 inputs AND case
7. 3 inputs OR case
8. 3 inputs NOR case
9. 3 inputs NAND case
3. Third Practical - Write a program in MATLAB for Hebbian and perception learning rule.
A. Discrete/Threshold type activation function
1. Unipolar (means 0 to 1)
2. Bipolar (means -1 to 1)
B. Continuous type activation function
1. Unipolar (means 0 to 1)
2. Bipolar (means -1 to 1)
C. Ramp/Linear type activation function
1. Unipolar (means 0 to 1)
2. Bipolar (means -1 to 1)
Take example as
X1=[1;-2;1.5;0]
W1=[1;-1;0;0.5]
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