Neural Computing and Diffuse Systems

Recommended Prerequisites

N.A.

Teaching Methods

Theoretical classes will mainly be discussions with the students (assuming that they have previously read the study materials) and solution of application problems. In the practical classes the students will be divided in groups that will seek for solutions to specific biomedicine problems, thus fostering their self-learning and knowledge-seeking skills.

Learning Outcomes

Use of quantitative computational intelligence methods (neural networks, diffuse systems and their combinations) in modelling and analysis of information in biological and physiological systems, computer simulations and diagnostic support. These methods allow for the computation with uncertainties, partial knowledge, or imprecision are present. They are therefore very important in biomedical activities with real problems, which almost always have these characteristics.

Work Placement(s)

No

Syllabus

1. Brief history of neural networks and diffuse logic.
2. Neural networks architectures and their training algorithms.
3. Diffuse logic and diffuse systems.
4. Diffuse inference and rule-based diffuse systems.
5. Neural-diffuse systems of Mamdani and TSK. Anfis.
6. Computational modelling applications. Detection and classification of patterns. Diagnostic applications.

Head Lecturer(s)

António Dourado Pereira Correia

Assessment Methods

Evaluation
Exam: 100.0%

Bibliography

- Computational Intelligence, An Introduction, Engelbrecht, A.P, J. Wiley and Sons, 2002.
- Neural Networks and Artificial Intelligence for Biomedical Engineering IEEE Press Series on Biomedical Engineering, Series Editor: Metin Akay. Donna L. Hudson (Univ. of California, San Francisco); Maurice E. Cohen (Univ. of California, San Francisco, California State Univ., Fresno).
- Fuzzy and Neuro-Fuzzy Systems in Medicine, Teodorescu, Horia, A.K Andel, LC Jain, (Editors) , CRC Press, 1998.
- Fuzzy Systems In Medicine, Other Szczepaniak, Piotr S., Physica-Verlag, 2000.
- Nonlinear Biomedical Signal Processing, Volume 1, Fuzzy Logic, Neural Networks, and New Algorithms, IEEE Press Series on Biomedical Engineering, Series Editor: Metin, Akay, 2001.
- Neural Network Design, Hagan, Demuth, Beale, PWS Publishing, 1995.
- Fuzzy Logic With Engineering Applications, Timothy Ross, McGraw Hill,1995.