Abstract
The aim of this paper is to generalize the approaches used for developing hybrid intelligent systems based on integration of neural networks, fuzzy logic and genetic algorithms. The paper introduces the concepts of intelligent artificial life system (IALS) space as a generalized conceptual space which represents a framework for all possible integration schemes of such intelligence technologies. Concepts like order of intelligence, degree of intelligence and types of hybrid coupling are also illustrated. Based on such concepts, a proposed philosophy for hybrid integration schemes in the IALS space is presented and discussed.
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Hefny, H.A., Bahnasawi, A.A., Abdel Wahab, A.H., Shaheen, S.I.: Logical Radial Basis Function Networks-A Hybrid Third Order Intelligent Approximator. Accepted For Publication in Advances in Engineering Software (August 10, 1998)
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Hefny, H.A., Wahab, A.H.A., Bahnasawi, A.A., Shaheen, S.I. (1999). A Novel Framework for Hybrid Intelligent Systems. In: Imam, I., Kodratoff, Y., El-Dessouki, A., Ali, M. (eds) Multiple Approaches to Intelligent Systems. IEA/AIE 1999. Lecture Notes in Computer Science(), vol 1611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48765-4_81
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DOI: https://doi.org/10.1007/978-3-540-48765-4_81
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