ARTIFICIAL NEURAL NETWORK (2/1 Credits)

Learning Outcomes:

At the end of this course, students will be able to: Demonstrate the use of the application in accordance with the models of Neuro Computing; Explain the basic concepts of each model existing in Neuro Computing.

Topics:

1. Neural Network architecture;
2. The concept Neural Network Learning;
3. Perceptrons; Backpropagation;
4. Bidirectional Associative Memory (BAM);
5. Hopfield Net;
6. Self-Organizing Network Model (SOM);
7. Review.