Applications of Neural Networks
Objectives
To consolidate knowledge about Problem Solving with ANNs based in Practical Cases of Engineering Problems of Moderate difficulty
General characterization
Code
3606
Credits
6.0
Responsible teacher
José Barahona da Fonseca
Hours
Weekly - 4
Total - 30
Teaching language
Português
Prerequisites
Having some experience with Matlab and the neural networks Toolbox and knowing the Hodgkin and Huxley model, the Rosenblatt perceptron and the Backpropagation algorithm.
Bibliography
1. M. T. Hagan, H. B. Demuth and M. Beale,
Neural Network Design,
1996, PWS PUBLISHING COMPANY, Boston, MA.
Teaching method
Theoretical-Pratical Classes with computational simulations using a datashow. It is assumed that each students brings his computer.
Evaluation method
5 Technical Reports that cover all the theory of the disciple, being the last an application of neural networks to a problem well known by the students.
Subject matter
1. Applications of Feedforward Neural Networks, 2. Applications of Recorrent Neural Networks, 3. Applications of Self Organizing Maps, 4. Applications of Support Vector Machines