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Contents
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| Week 1: |
Introduction to Computational Intelligence topics |
| Week 2: |
Multilayer Neural Networks and Backpropagation |
| Week 3: |
Radial-Basis Function Networks |
| Week 4: |
Recurrent Neural Networks |
| Week 5: |
Fuzzy Set Theory |
| Week 6: |
Fuzzy Relations and Fuzzy Logic Inference |
| Week 7: |
MIDTERM EXAM |
| Week 8: |
Fuzzy Clustering and Classification |
| Week 9: |
Fuzzy Measures and Fuzzy Integrals |
| Week 10: |
Evolutionary Computation: Basic Ideas and Fundamentals |
| Week 11: |
Evolutionary Optimization |
| Week 12: |
Evolutionary Learning and Problem Solving |
| Week 13: |
Collective Intelligence and Other Extensions of Evolutionary Computation |
| Week 14: |
Presentation of term project to class |
| Week 15*: |
General review |
| Week 16*: |
Final exam |
| Textbooks and materials: |
Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation, James M Keller, Derong Liu, and David B. Fogel, Wiley, 2016 |
| Recommended readings: |
1. S. Haykin, Neural Networks and Learning Machines, Prentice Hall; 3 edition, 2008
2. A. P. Engelbrecht, Computational Intelligence: An Introduction, John Wiley & Sons, 2007.
3. X. Yu and M. Gen, Introduction to Evolutionary Algorithms, Springer Verlag, 2010.
4. H.K. Lam, S.S.H. Ling, and H.T. Nguyen, Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine, Imperial College Press, 2011.
5. A.E. Eiben and J.E. Smith, Introduction to Evolutionary Computing, Springer-Verlag; 2nd Edition, 2015 (ISBN 978-3-662-44874-8)
6. J. T. Ross, “Fuzzy Logic With Engineering Applications”, Wiley; 4th Edition, 2016 (ISBN: 978-1-119-23586-6)
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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