Abstract
Expert system and neural network technologies have developed to the point that the advantages of each can be combined into more powerful systems. In some cases, neural computing systems are replacing expert systems and other artificial intelligence solutions. In other applications, neural networks provide features not possible with conventional AI systems and may provide aspects of intelligent behavior that have thus far eluded AI.
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References for Further Reading
Caglayan, A. K., and Gonzalves, P. G. (1994), “Hybrid system for multiple target recognition,” in [Medsker, 1994a] at pp. 139–179.
Foss, R. V. (1994), “LAM hybrid system for window glazing design,” in [Medsker, 1994a] at pp. 49–75.
Gallant, S. I. (1993), Neural Network Learning and Expert Systems, MIT Press, Cambridge, MA.
Hendler, J., and Dickens, L. (1991), “Integrating neural network and expert reasoning: an example,” Proceedings of the Eighth Conference of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, Leeds, U.K., April 16-19, pp. 109–116.
Hendler, J., and Wilson, A. (1994), “Chemical tank control system,” in [Medsker, 1994a] at pp. 109–119.
Kandel, A., and Langholz, G. (eds) (1992), Hybrid Architectures for Intelligent Systems, CRC Press, Boca Raton.
Klusch, M., and Napiwotzki, R. (1993), “HNS-a hybrid neural system and its use for the classification of stars,” European Journal on Astronomy and Astrophysics, vol 276, pp. 309–319.
Mazzu, J. M., Gonsalves, P. G., and Caglayan, A. K. (1994), “Hybrid system approach to nuclear plant monitoring,” in [Medsker, 1994a] at pp. 77–108.
Medsker, L. R. (ed.), (1991), Special Issue of Expert Systems with Applications: An International Journal, vol 2, no. 1.
Medsker, L. R. (1994a), Hybrid Neural Network and Expert Systems, Kluwer Academic Publishers, Boston.
Medsker, L. (1994b) “Design and development of hybrid neural network and expert systems,” Proceedings of the IEEE International Conference on Neural Networks, vol III, IEEE World Congress on Computational Intelligence, Orlando, FL, pp. 1470–1474.
Medsker, L. R., and Bailey, D. L. (1992), “Models and guidelines for integrating expert systems and neural networks,” in [Kandel and Langholz, 1992] at pp. 154–171.
Medsker, L. and Liebowitz, J. (1994), Design and Development of Expert Systems and Neural Networks, Macmillan Publishing Company, New York.
Medsker, L., and Turban, E. (1992), “Neural computing and artificial intelligence,” in [Turban, 1992] at pp. 621–663.
Soucek, B., and the IRIS Group (eds) (1991), Neural and Intelligent Systems Integration, John Wiley and Sons, New York.
The following selected conference proceedings contain articles on hybrid neural network and expert systems
HICSS’94 (1994), Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences, Wailea, HI, January 4-7.
ICNN’94 (1994), Proceedings of the IEEE International Conference on Neural Networks, IEEE World Congress on Computational Intelligence, Orlando, FL, June 28-July 2.
WCES’94 (1994), Proceedings of Second World Congress on Expert Systems, Lisbon/Estoril, Portugal, January 10-14.
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Medsker, L.R. (1995). Expert Systems and Neural Networks. In: Hybrid Intelligent Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2353-6_3
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DOI: https://doi.org/10.1007/978-1-4615-2353-6_3
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