|
Exp. No. |
Title |
|
1 |
Artificial Neural Networks and Activation Functions |
|
2 |
McCulloch and Pitts’s Neuron Model |
|
3 |
Artificial Neural Networks Unsupervised Learning Rules |
|
4 |
Artificial Neural Networks Supervised (Perceptron & Delta)
Learning Rules |
|
5 |
Artificial Neural Networks Supervised Learning Rules |
|
6 |
The Hopfield Neural Model |
|
7 |
The Hamming Neural Model |
|
8 |
Bidirectional Associative Memory (BAM) |
|
9 |
Feed Forward ANN Training by using Back Propagation Algorithm |
|
10 |
Adaptive Resonance Theory (ART) |
|
11 |
Genetic Algorithm (GA) |
|
12 |
Fuzzy Logic (FL) |
Laboratory Experiments: