C.W. Anderson and Z. Sijercic. (submitted) Cluster Analysis of Neural Network Weights For Discrimination of EEG Signals. Submitted to NIPS'96, Neural Information Processing Systems Conference. (166 KB compressed Postscript)
R. Heckendorn and C.W.Anderson. (submitted) A Multigrid Form of Value Iteration Applied to a Markov Decision Problem. Submitted to NIPS'96, Neural Information Processing Systems Conference. (100 KB compressed Postscript)
R.M. Kretchmar and C.W. Anderson. (submitted) Comparison of CMACs and Radial Basis Functions for Local Function Approximators in Reinforcement Learning. Submitted to NIPS'96, Neural Information Processing Systems Conference. (98 KB compressed Postscript)
T. Thorpe and C.W. Anderson. (submitted) Traffic Light Control Using SARSA with Different State Representations. Submitted to NIPS'96, Neural Information Processing Systems Conference. (110 KB compressed Postscript)
L. Pyeatt, A. Howe, and C.W. Anderson. (submitted) Learning Coordinated Behaviors for Control of a Simulated Race Car. Submitted to NIPS'96, Neural Information Processing Systems Conference. (58 KB compressed Postscript)
M. Stevens, C.W. Anderson, and J.R. Beveridge. (submitted) Using Large Neural Networks as an Efficient Indexing Method for ATR Template Matching. Submitted to NIPS'96, Neural Information Processing Systems Conference.
C. Anderson, E. Stolz, and S. Shamsunder (to appear) Multivariate Autoregressive Models for Classification of Spontaneous Electroencephalogram During Mental Tasks. IEEE Transactions on Biomedical Engineering.
C. Anderson (to appear) Effects of Variations in Neural Network Topology and Output Averaging on the Discrimination of Mental Tasks from Spontaneous Electroencephalogram. Journal of Intelligent Systems.
Z. Sijercic, G.C. Agarwal, and C. Anderson. EEG Signal Compression With ADPCM Subband Coding. In Proceedings of the 39th Midwest Symposium on Circuits and Systems, August, 1996.
C. Anderson, D. Hittle, A. Katz, R. Kretchmar, Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil. In Solving Engineering Problems with Neural Networks: Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN'96), ed. by Bulsari, A.B., Kallio, S., and Tsaptsinos, D., Systems Engineering Association, PL 34, FIN-20111 Turku 11, Finland, pp. 135--142. (125 KB compressed Postscript) Also see EANN96
C. Anderson and Z. Sijercic, Classification of EEG Signals from Four Subjects During Five Mental Tasks. In Solving Engineering Problems with Neural Networks: Proceedings of the Conference on Engineering Applications in Neural Networks (EANN'96), ed. by Bulsari, A.B., Kallio, S., and Tsaptsinos, D., Systems Engineering Association, PL 34, FIN-20111 Turku 11, Finland, pp. 407--414, 1996. (184 KB compressed Postscript) Also see EANN96
C. Anderson, A. von Mayrhauser, T. Chen, Assessing Neural Networks as Guides for Testing Activities. In Proceedings of Metrics '96, Berlin, 1996. (96 KB compressed Postscript)
C. Anderson, E. Stolz, and S. Shamsunder. Discriminating Mental Tasks Using EEG Represented by AR Models. Proceedings of the 1995 IEEE Engineering in Medicine and Biology Annual Conference, Sept 20--23, 1995, Montreal, Canada. (32 KB compressed Postscript)
C. Anderson, S. Devulapalli, and E. Stolz. EEG Signal Classification with Different Signal Representations. In Neural Networks for Signal Processing V, ed. by F. Girosi, J. Makhoul, E. Manolakos, E. Wilson, IEEE Service Center, Piscataway, NJ, pp. 475--483, 1995. (40 KB compressed Postscript)
C. Anderson, A. von Mayrhauser, and R. Mraz. On the Use of Neural Networks to Guide Software Testing Activities. Proceedings of ITC'95, the International Test Conference, October 21--26, 1995, Washington, D.C. (59 KB compressed Postscript)
C. Anderson, S. Devulapalli, and E. Stolz. Determining Mental State from EEG Signals Using Neural Networks. Scientific Programming, Special Issue on Applications Analysis, 4, 3, Fall, 1995, 171--183. (0.1 MB compressed Postscript)
Y. Ying, C. Winn, and C. Anderson. A Study of Utility Estimators for a University Building. Proceedings of the ISES World Solar Congress, Sept. 1995.
A. von Mayrhauser, C. Anderson, R. Mraz. Using a Neural Network to Predict Test Case Effectiveness. In Proceedings of the 1995 IEEE Aerospace Applications Conference, pp. 77--91, 1995.
C. Anderson, S. Devulapalli, and E. Stolz. EEG as a Means of Communication: Preliminary Experiments in EEG Analysis Using Neural Networks. Proceedings of ASSETS'94, the First International ACM/SIGCAPH Conference on Assistive Technologies, pp. 141--147, 1994.
C. Anderson and Z. Hong. Reinforcement Learning with Modular Neural Networks for Control. Proceedings of NNACIP'94, the IEEE International Workshop on Neural Networks Applied to Control and Image Processing, 1994. (42 KB compressed Postscript)
S. Crawford-Hines, and C. Anderson. Interactive Region Bounding with Neural Networks. Proceedings of NNACIP'94, the IEEE International Workshop on Neural Networks Applied to Control and Image Processing, 1994, pp. 58--61. A similar version, titled Nonlinear Region Definitions using Neural Networks, is available in HTML.
C. Anderson and S. Crawford-Hines. Multigrid Q-Learning. Technical Report CS-94-121. Colorado State University, Fort Collins, CO 80523, 1994. (0.2 MB compressed Postscript)
E. Furrow and C. Anderson. Controlling a Dynamic System in Real Time. Technical Report CS-94-119. Colorado State University, Fort Collins, CO 80523, 1994.
E. Orosz and C. Anderson. Classification of EEG Signals Using a Sparse Polynomial Builder. Technical Report CS-94-111, Colorado State University, April, 1994.
C. Anderson. Q-Learning with Hidden-Unit Restarting. Advances in Neural Information Processing Systems, 5, S. J. Hanson, J. D. Cowan, and C. L. Giles, eds., Morgan Kaufmann Publishers, San Mateo, CA, pp. 81--88, 1993. (0.1 MB compressed Postscript)
D. Whitley, S. Dominic, R. Das, and C. Anderson Genetic Reinforcement Learning for Neurocontrol Problems. Machine Learning, 13, pp. 259--284, 1993.
B. Willson, J. Whitham, and C. Anderson. Estimating ignition timing from engine cylinder pressure with neural networks. Proceedings of Intelligent Vehicles 92, Detroit, MI, July, 1992.
S. Dominic, D. Whitley, C. Anderson, and R. Das. Genetic reinforcement learning for neural networks. In Proceedings of the International Joint Conference on Neural Networks at Seattle (IJCNN-91-Seattle), II, pp. 71--76, 1991.
D. Whitley, S. Dominic, R. Das, and C. Anderson. Genetic algorithms, neural networks and reinforcement learning. In Proceedings of the Fourth International Conference on Genetic Algorithms, San Diego, California, 1991.
C. Anderson and W. Thomas Miller. A Challenging Set of Control Problems. In Neural Networks for Control, ed. by W.T. Miller, R.S. Sutton, and P.J. Werbos, MIT Press, pp. 475--510, 1990.
C. Anderson, J. Franklin, and R. Sutton. Learning a nonlinear model of a manufacturing process using multilayer connectionist networks. In Proceedings of the 5th IEEE International Symposium on Intelligent Control, Philadelphia, PA, Sept. 1990, pp. 404--409.
M. Kokar, C. Anderson, T. Dean, K. Valavanis, and W. Zadrony. Knowledge representation for learning control. In Proceedings of the 5th IEEE International Symposium on Intelligent Control, Philadelphia, PA, Sept. 1990, pp. 389--399.
C. Anderson, J. Franklin, R. Sutton, J. Doleac, and J. Vittal. Learning models of a fluorescent lamp manufacturing process with connectionist networks. In Proceedings of the 178th Meeting of the Electrochemical Society, Seattle, WA, Oct. 1990.
C. Anderson. Tower of hanoi with connectionist networks: learning new features. Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, June, 1989.
C. Anderson. Learning to control an inverted pendulum with neural networks. IEEE Control Systems Magazine, 9, 3, April, 1989.
O. Selfridge, R. Sutton, and C. Anderson. Selected Bibliography on Connectionism, In Evolution, Learning, and Cognition, Y.C. Lee (Ed.), World Scientific Publishing, pp. 391--404, 1988.
C. Anderson. Learning to control an inverted pendulum with connectionist networks, Proceedings of the 1988 American Control Conference, Atlanta, GA, 1988.
J. Franklin, R. Sutton, and C. Anderson. Application of connectionist learning methods to manufacturing process monitoring, Proceedings of the Third IEEE International Symposium on Intelligent Control, Arlington, VA, 1988.
C. Anderson. Strategy learning with multilayer connectionist representations, Proceedings of the Fourth International Workshop on Machine Learning, Irvine, CA, 1987.
C. Anderson. Learning and problem solving with connectionist representations, Ph.D. Dissertation, Computer Science Department, University of Massachusetts, Amherst, MA, 1986.
A. Barto, P. Anandan, and C. Anderson. Cooperativity in networks of pattern recognizing stochastic learning automata, Proceedings of the Fourth Yale Workshop on Applications of Adaptive Systems Theory, New Haven, CT, 1985.
A. Barto and C. Anderson. Structural learning in connectionist systems, Proceedings of the Seventh Annual Conference of the Cognitive Science Society, Irvine, CA, 1985.
A. Barto, R. Sutton, and C. Anderson. Neuron-like adaptive elements that can solve difficult learning control problems, IEEE Transactions on Systems, Man, and Cybernetics, SMC-13, 5, pp. 834--846, 1983.
A. Barto, R. Sutton, and C. Anderson. Spatial learning simulation systems, Proceedings of the 10th IMACS World Congress on Systems Simulation and Scientific Computation, pp. 204--206, 1982.
A. Barto, C. Anderson, and R. Sutton. Synthesis of nonlinear control surfaces by a layered associative network, Biological Cybernetics, 43, pp. 175-185, 1982.
C. Anderson. Feature generation and selection by a layered network of reinforcement learning elements: Some initial experiments. M.S. Dissertation, Computer and Information Science Department, Technical Report 82-12, University of Massachusetts, Amherst, MA, 1982.