Physical Process Modeling

Physical Process Modeling Library


PROGRAMMING



A

Aleksander, Igor, and Morton, Helen, An Introduction to Neural Computing, Chapman and Hall, London, 1990.
Aiken, Milam, “Forecasting T-Bill Rates with a Neural Net,” Technical Analysis of Stocks and Commodities, May 1995, Technical Analysis Inc., Seattle.
Anderson, James, and Rosenfeld, Edward, eds., Neurocomputing: Foundations of Research, MIT Press, Cambridge, MA, 1988.
Anzai, Yuichiro, Pattern Recognition and Machine Learning, Academic Press, Englewood Cliffs, NJ, 1992.
Azoff, E. Michael, Neural Network Time Series Forecasting of Financial Markets, John Wiley & Sons, New York, 1994.
Ahmadian, Mohamad, and Pimmel, Russell, “Recognizing Geometrical Features of Simulated Targets with Neural Networks,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 409–411.

B

Bauer, Richard J., Genetic Algorithms and Investment Strategies, John Wiley & Sons, New York, 1994.
Booch, Grady, Object Oriented Design with Applications, Benjamin-Cummings, Redwood City, CA, 1991.

C

Carpenter, Gail A., and Ross, William D., “ART-EMAP: A Neural Network Architecture for Object Recognition by Evidence Accumulation,” IEEE Transactions on Neural Networks, Vol. 6., No. 4, July 1995, pp. 805–818.
Colby, Robert W., and Meyers, Thomas A., The Encyclopedia of Technical Market Indicators, Business One Irwin, Homewood, IL, 1988.
Collard, J. E., “Commodity Trading with a Three Year Old,” Neural Networks in Finance and Investing, pp. 411–420, Probus Publishing, Chicago, 1993.
Cox, Earl, The Fuzzy Systems Handbook, Academic Press, Boston, 1994.

D

Dagli, Cihan, et al., eds., Intelligent Engineering Systems through Artificial Neural Networks, Volume 2, ASME Press, New York, 1992.
Davalo, Eric, and Naim, Patrick, Neural Networks, MacMillan, New York, 1991.

E

Ercal, F., et al., “Diagnosing Malignant Melanoma Using a Neural Network,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 553–555.

F

Frank, Deborah, and Pletta, J. Bryan, “Neural Network Sensor Fusion for Security Applications,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 745–748.
Freeman, James A., and Skapura, David M., Neural Networks Algorithms, Applications, and Programming Techniques, Addison-Wesley, Reading, MA, 1991.

G

Gader, Paul, et al., “Fuzzy and Crisp Handwritten Character Recognition Using Neural Networks,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 421–424.
Ganesh, C., et al., “A Neural Network-Based Object Identification System,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 471–474.
Glover, Fred, ORSA CSTS Newsletter Vol 15, No 2, Fall 1994.
Goldberg, David E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.
Grossberg, Stephen, et al., Introduction and Foundations, Lecture Notes, Neural Network Courses and Conference, Boston University, May 1992.

H

Hammerstrom, Dan, “Neural Networks at Work,” IEEE Spectrum, New York, June 1993.
Hertz, John, Krogh, Anders, and Palmer, Richard, Introduction to the Theory of Neural Computation, Addison-Wesley, Reading, MA, 1991.

J

Jagota, Arun, “Word Recognition with a Hopfield-Style Net,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 445–448.
Johnson, R. Colin, “Accuracy Moves OCR into the Mainstream,” Electronic Engineering Times, CMP Publications, Manhasset, NY, January 16, 1995.
Johnson, R. Colin, “Making the Neural-Fuzzy Connection,” Electronic Engineering Times, CMP Publications, Manhasset, NY, September 27, 1993.
Johnson, R. Colin, “Neural Immune System Nabs Viruses,” Electronic Engineering Times, CMP Publications, Manhasset, NY, May 8, 1995.
Jurik, Mark, “The Care and Feeding of a Neural Network,” Futures Magazine, Oster Communications, Cedar Falls, IA, October 1992.

K

Kimoto, Takashi, et al., “Stock Market Prediction System with Modular Neural Networks,” Neural Networks in Finance and Investing, pp. 343–356, Probus Publishing, Chicago, 1993.
Kline, J., and Folger, T.A., Fuzzy Sets, Uncertainty and Information, Prentice Hall, New York, 1988.
Konstenius, Jeremy G., “Trading the S&P with a Neural Network,” Technical Analysis of Stocks and Commodities, October 1994, Technical Analysis Inc., Seattle.
Kosaka, M., et al., “Applications of Fuzzy Logic/Neural Network to Securities Trading Decision Support System,” Conference Proceedings of the 1991 IEEE International Conference on Systems, Man and Cybernetics, V.3, pp. 1913–1918.
Kosko, Bart, and Isaka, Satoru, Fuzzy Logic, Scientific American, New York, July 1993.
Kosko, Bart, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice-Hall, New York, 1992.

L

Laing, Jonathan, “New Brains: How Smart Computers are Beating the Stock Market,” Barron’s, February 27, 1995.
Lederman, Jess, and Klein, Robert, eds., Virtual Trading, Probus Publishing, Chicago, 1995.
Lin, C.T. and Lee, C.S.G, “A Multi-Valued Boltzman Machine”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 25, No. 4, April 1995 pp. 660-668.

M

MacGregor, Ronald J., Neural and Brain Modeling, Academic Press, Englewood Cliffs, NJ, 1987.
Mandelman, Avner, “The Computer’s Bullish! A Money Manager’s Love Affair with Neural Network Programs,” Barron’s, December 14, 1992.
Maren, Alianna, Harston, Craig, and Pap, Robert, Handbook of Neural Computing Applications, Academic Press, Englewood Cliffs, NJ, 1990.
Marquez, Leorey, et al., “Neural Network Models as an Alternative to Regression,” Neural Networks in Finance and Investing, pp. 435–449, Probus Publishing, Chicago, 1993.
Mason, Anthony et al., “Diagnosing Faults in Circuit Boards—A Neural Net Approach,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 839–843.
McNeill, Daniel, and Freiberger, Paul, Fuzzy Logic, Simon & Schuster, New York, 1993.
McNeill, F. Martin, and Thro, Ellen, Fuzzy Logic: A Practical Approach, Academic Press, Boston, 1994.
Murphy, John J., Intermarket Technical Analysis, John Wiley & Sons, New York, 1991.
Murphy, John J., Technical Analysis of the Futures Markets, NYIF Corp., New York, 1986.

N

Nellis, J., and Stonham, T.J., “A Neural Network Character Recognition System that Dynamically Adapts to an Author’s Writing Style,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 975–979.

P

Peters, Edgar E., Fractal Market Analysis: Applying Chaos Theory to Investment and Economics, John Wiley & Sons, New York, 1994.

R

Ressler, James L., and Augusteijn, Marijke F., “Weapon Target Assignment Accessibility Using Neural Networks,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 397–399.
Rao, Satyanaryana S,, and Sethuraman, Sriram, “A Modified Recurrent Learning Algorithm for Nonlinear Time Series Prediction,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 725–730.
Rao, Valluru, and Rao, Hayagriva, Power Programming Turbo C++, MIS:Press, New York, 1992.
Ruggiero, Murray, “How to Build an Artificial Trader,” Futures Magazine, Oster Communications, Cedar Falls, IA, September 1994.
Ruggiero, Murray, “How to Build a System Framework,” Futures Magazine, Oster Communications, Cedar Falls, IA, November 1994.
Ruggiero, Murray, “Nothing Like Net for Intermarket Analysis,” Futures Magazine, Oster Communications, Cedar Falls, IA, May 1995.
Ruggiero, Murray, “Putting the Components before the System,” Futures Magazine, Oster Communications, Cedar Falls, IA, October 1994.
Ruggiero, Murray, “Training Neural Networks for Intermarket Analysis,” Futures Magazine, Oster Communications, Cedar Falls, IA, August 1994.
Rumbaugh, James, et al, Object-Oriented Modeling and Design, Prentice-Hall Inc, Englewood Cliffs, New Jersey, 1991.

S

Sharda, Ramesh, and Patil, Rajendra, “A Connectionist Approach to Time Series Prediction: An Empirical Test,” Neural Networks in Finance and Investing, pp. 451–463, Probus Publishing, Chicago, 1993.
Sherry, Clifford, “Are Your Inputs Correlated?” Technical Analysis of Stocks and Commodities, February 1995, Technical Analysis Inc., Seattle.
Simpson, Patrick K., Artificial Neural Systems: Foundations, Paradigms, Applications and Implementations, Pergamon Press, London, 1990.
Soucek, Branko, and Soucek, Marina, Neural and Massively Parallel Computers: The Sixth Generation, John Wiley & Sons, New York, 1988.
Stein, Jon, “The Trader’s Guide to Technical Indicators,” Futures Magazine, Oster Communications, Cedar Falls, IA, August 1990.

T

Terano, Toshiro, et al., Fuzzy Systems Theory and Its Applications, Academic Press, Boston, 1993.
Trippi, Robert, and Turban, Efraim, eds., Neural Networks in Finance and Investing, Probus Publishing, Chicago, 1993.

W

Wasserman, Gary S., and Sudjianto, Agus, Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 901–904.
Wasserman, Philip D., Advanced Methods in Neural Computing, Van Nostrand Reinhold, New York, 1993.
Wasserman, Philip D., Neural Computing, Van Nostrand Reinhold, New York, 1989.
Wu, Fred, et al., “Neural Networks for EEG Diagnosis,” Conference Proceedings of the 1992 Artificial Neural Networks in Engineering Conference, V.3, pp. 559–565.

Y

Yager, R., ed., Fuzzy Sets and Applications: Selected Papers by L.Z. Zadeh, Wiley-Interscience, New York, 1987.
Yan, Jun, Ryan, Michael, and Power, James, Using Fuzzy Logic, Prentice-Hall, New York, 1994.
Yoon, Y., and Swales, G., “Predicting Stock Price Performance: A Neural Network Approach,” Neural Networks in Finance and Investing, pp. 329–339, Probus Publishing, Chicago, 1993.




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