Courses: SYSC 576 / EE 456/556: Artificial Neural Networks II: Winter 2005

Course Syllabus

Class Schedule (pdf)

Assignments

Week 1 Reading Assn

Problem Assn #1 (pdf)

Week 6 Reading Assn

Problem Assn #2 (pdf)

Assn #2 Data

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Term Project

Candidate Term Project Ideas

Faculty

George G. Lendaris

Tad Shannon

Bibliography

• Lendaris, G. & K. Mathia, "Efficient Numerical Inversion Using Multilayer Feedforward Neural Networks", Proceedings of World Congress on Neural Networks'96 (WCNN-96), Earlbaum/INNS, August, 1996. pdf paper - figures - slides
• Lendaris, G.G., K. Mathia & R. Saeks, "Linear Hopfield Networks and Constrained Optimization", Transactions of Systems, Man & Cybernetics, IEEE, vol , xxx, 1999. pdf paper

Links

• Errata for Fuzzy Logic Text
• Software for different network paradigms
• Neural Net Research at PSU
• IEEE Neural Nets Council
• Accurate Automation Co.
• Applied Computational Intelligence Lab at Texas Tech.
• BYU Neural Nets and Machine Learning Lab