Previous Table of Contents Next


REFERENCES

1  Kelly, E. G. & Spottiswood, D. J. (1982). Introduction to mineral processing. New York, NY: John Wiley & Sons.
2  Karr, C. L., Yeager, D., & Stanley, D. A. (1994). Tuning empirical computer models using genetic algorithms. Proceedings of the Society for Computer Simulation’s Summer Meeting, 236-241.
3  Karr, C. L. (1993a). Strategy for adaptive process control for a column flotation unit. Proceedings of the Fifth Workshop on Neural Networks, SPIE 2204, 95-100.
4  Karr, C. L. (1993b). Optimization of a computer model of a grinding process using genetic algorithms. In H. El-Shall, B. Moudgil, & R. Weigel (Eds.), Beneficiation of Phosphate: Theory and Practice (pp. 339-345). Littleton, CO: Society for Mining, Metallurgy, and Exploration, Inc.
5  Wasserman, P. D. (1989). Neural computing. New York, NY: Van Nostrand Reinhold.
6  Zadeh, L. A. (1975). Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3, (1), 28-44.
7  Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley Publishing Company, Inc.
8  Karr, C. L. (1991). Genetic algorithms for fuzzy controllers. AI Expert, 6 (2), 26-33.
9  Koza, J. R. (1992). Genetic programming: On the programming of computers by means of natural selection. Cambridge: MIT Press.
10  Willis, B.A. (1979). Mineral processing technology. Toronto: Programon Press.
11  Plitt, L. R. (1976). A mathematical model of the hydrocyclone classifier. CIM Bulletin, 69, 114-123.
12  Bradley, D. (1965). The hydrocyclone. Elmsford, NY: Pergamon Press.
13  Fahlstrom, P. H. (1963). Studies of the hydrocyclone as a classifier. International Mineral Processing Congress, 6, 87-114.
14  Lynch, A. J., & Rao, T. C. (1975). Modeling and scale-up of hydrocyclone classifiers. International Mineral Processing Congress, 11, 245-269.


Previous Table of Contents Next

Copyright © CRC Press LLC