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Courses: EE456/556, SYSC 576: Artificial Neural Networks II: Winter 2006
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Assignments
- Reading Assignment 1(Revised)
- Reading Assignment 2
- Problem Assignment 1
- Problem Assignment 2
- Problem Assignment 2 Data
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Term Project
- Candidate Term Project Ideas
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Readings
- Barto, A.G., "Connectionist Learning for Control: An Overview" (Chapter 1) and Werbos, P.J., "Overview of Designs and Capabilities" (Chapter 2) from "Neural Networks for Control", Miller, Sutton & Werbos, Eds, MIT Press, pp.5-66, 1991.
- Lendaris, G.G. & T.T. Shannon, 1998, "Designing (Approximate) Optimal Controllers via DHP Adaptive Critics & Neural Networks", Draft of Invited Chapter for "The Handbook of Applied Computational Intelligence", CRC Press, Padget, Karayianis, & Zadeh, Eds. [book not published]
- Lendaris, G.G. & J.S. Neidhoefer, 2004, "Guidance in the Use of Adaptive Critics for Control" Ch.4 in "Handbook of Learning and Approximate Dynamic Programming", Si, et al, Eds., IEEE Press & Wiley Interscience, pp. 97-124, 2004.
- Neural Networks for Control Chapter 5 (Narendra)
- Neural Networks for Control Chapter 12 (Nguyen & Widrow)
- Lendaris, G.G & K. Mathia (1996), "Efficient Numerical Inversion Using Multilayer Feedforward Neural Networks," Proceedings of World Congress on Neural Networks96 (WCNN-96), Earlbaum/INNS, Aug. (Slides)
- Lendaris, G.G, K. Mathia, & R. Saeks, (1999) "Linear Hopfield Networks and Constrained Optimization," Transactions of Systems, Man Cybernetics, IEEE, vol xxx.
- Lendaris, G.G, A. Rest & T. Misley (1997), "Improving ANN Generalization Using A Priori Knowledge to Pre-Structure ANNs," Proceedings of International Conference on Neural Networks97 (ICNN97), IEEE Press, July. (Slides)
- Lendaris, G.G., M. Zwick & K. Mathia, "On Matching ANN Structure to Problem Domain Structure," Proc. WCNN93.
- Lendaris, G.G. & K. Mathia, "On Prestructuring ANNs Using A Priori Knowledge," Proc. WCNN94, Erlbaum/INNS. (Slides)
- Lendaris, G.G., & K. Mathia, "Using A-Priori Knowledge to Prestructure ANNs," Australian Journal of Intelligent Information Processing Systems, vol. 1, no. 1, Mar 1994.
- Lendaris, G.G& I. Harb (1990), "Improved Generalization in ANNs via Use of Conceptual Graphs: A Character Recognition Task as an Example Case," Proceedings of International Joint Conference on Neural Networks90 (IJCNN'90, San Diego), IEEE, July
- Lendaris, G.G (1992), "A Neural-Network Approach to Implementing Conceputal Graphs, (invited), Chapter 8 in Conceptual Structures, Nagle, et al, Editors.
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Notes
- In-class PowerPoint presentation on Wed., Jan. 18, 2006, entitled "Reinforcement Learning for Intelligent Control".
- Recap of Lectures from February 22 - March 6.
- Slide presentation: "Experience for Intelligent Agents"
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Faculty
- George G. Lendaris
- Graduate Assistant: Lars Holmstrom (email:larsh(at)pdx.edu office:SYSC207)
Links
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