Publications

Found 70 results
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P
Moody, J. (1994).  Prediction Risk and Neural Network Architecture Selection.
Moody, J., Levin A.., & Rehfuss S. (1993).  Predicting the U.S. Index of Industrial Production. Proceedings of Parallel Applications in Statistics and Economics '93. 3(6), 791-794.
Tresp, V., Briegel T., & Moody J. (1999).  Predicting Blood Glucose Metabolism in Diabetics -- A Machine Learning Solution.
Moody, J. (1987).  Perspectives on Associative Memories. Proceedings of the IEEE First International Conference on Neural Networks.
Moody, J., Wu L., Liao Y., & Saffell M. (1998).  Performance Functions and Reinforcement Learning for Trading Systems and Portfolios. 17, 441-470.
O
Moody, J., & Wu L. (1997).  Optimization of Trading Systems and Portfolios.
N
Darken, C., & Moody J. (1991).  Note on Learning Rate Schedules for Stochastic Optimization. 3,
Moody, J. (1991).  Note on Generalization, Regularization, and Architecture Selection in Nonlinear Learning Systems. Proceedings of the First IEEE-SP Workshop on Neural Networks for Signal Processing. 1-10.
Chernjavsky, A., & Moody J. (1990).  Note on Development of Modularity in Simple Cortical Models. 2,
Liao, Y., Moody J., & Wu L. (2002).  Neural Networks for Time Series Analysis.
Liao, Y., & Moody J. (1996).  A Neural Network Visualization and Sensitivity Analysis Toolkit. Proceedings of the International Conference on Neural Information Processing. 1069-1074.
Tresp, V., Moody J., & Delong W.. R. (1993).  Neural Network Modeling of Physiological Processes. 2, 363-378.
Moody, J., & Yarvin N.. (1992).  Networks with Learned Unit Response Functions. 4, 1048-1055.
M
Wu, L., & Moody J. (1997).  Multi-Effect Decompositions for Financial Data Modeling.
Moody, J., & Saffell M. (2000).  Minimizing Downside Risk via Stochastic Dynamic Programming.
Bialek, W.., Moody J., & Wilczek F. (1986).  Macroscopic T Nonconservation: Prospects for a New Experiment. 56,
Moody, J. (1995).  Macroeconomic Forecasting: Challenges and Neural Network Solutions. Proceedings of the International Symposium on Artificial Neural Networks.
L
Moody, J., & Darken C. (1988).  Learning with Localized Receptive Fields. Proceedings of the 1988 Connectionist Models Summer School. 133-143.
Moody, J., & Saffell M. (2001).  Learning to Trade via Direct Reinforcement. IEEE Transactions on Neural Networks. 12(4), 
Darken, C., Chang J.., & Moody J. (1992).  Learning Rate Schedules for Faster Stochastic Gradient Search. Neural Networks for Signal Processing.
I
Baum, E.. B., Moody J., & Wilczek F. (1988).  Internal Representations for Associative Memory. 59, 217-228.
Moody, J., & Wu L. (1996).  Improved Estimates for the Rescaled Range and Hurst Exponents. Proceedings of the Third International Conference on Neural Networks in Financial Engineering. 537-553.
H
Moody, J., & Wu L. (1998).  High Frequency Foreign Exchange Rates: Price Behavior Analysis and `True Price' Models.
F
Moody, J. (1998).  Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions. 347-371.
Moody, J., Turner E.. L., & Gott, III J.. R. (1983).  Filamentary Galaxy Clustering: A Mapping Algorithm. Astrophysical Journal. 273, 16-23.

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