Guest editorial Neural Networks and hybrid intelligent models: Foundations, theory, and applications

IEEE Transactions on Neural Networks

Volumn 9, Issue 5, 1998, Pages 721-723

  Giles, C Lee ^a   Sun, Ron ^b   Zurada, Jacek M ^c  

^a NEC LABORATORIES AMERICA   (United States)

^b UNIVERSITY OF ALABAMA   (United States)

^c UNIVERSITY OF LOUISVILLE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85008035943     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/TNN.1998.712147     Document Type: Article

References (19)

1. R. Alur, T. Henzinger, and E. Sontag, Hybrid Systems III. New York: Springer-Verlag, Lecture Notes in Artificial Intelligence, 1997.
2. D. P. Bertsekas and J. N. Tsitsiklis, Neuro-Dynamic Programming. Belmont, MA: Athena Scientific, 1996.
3. C. M. Bishop, Neural Networks for Pattern Recognition. New York: Oxford Univ. Press, 1995.
4. J. Bezdek, “Fuzzy Logic and Neural Networks,” IEEE Trans, Neural Networks, 1992.
5. H. A. Bourlard and N. Morgan, Connnectionist Speech Recognition: A Hybrid Approach. Boston, MA: Kluwer, 1994.
6. T. Dillon, P. Arabshahi, and R. J. Marks, “Everyday Applications of Neural Networks,” IEEE Trans. Neural Networks, vol. 8, July 1997.
7. D. B. Fogel, “Simulated Evolutionary Optimization,” IEEE Trans. Neural Networks, vol. 5, 1994.
8. S. I. Gallant, Neural Network Learning and Expert Systems. Cambridge, MA: MIT Press, 1993.
9. C. L. Giles and M. Gori, Adaptive Processing of Sequences and Data Structures. New York: Springer-Verlag, Lecture Notes in Artificial Intelligence, 1998.
10. V. Honavar and L. Uhr, Artificial Intelligence and Neural Networks: Steps Toward Principled Integration, vol. 1: Basic Paradigms; Learning Representational Issues; and Integrated Architectures. Cambridge, MA: Academic, 1994.
11. N. Kasabov, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. Cambridge, MA: MIT Press, 1996.
12. M. L. Minsky, Neural Networks. Automata Made up of Parts, in Computation: Finite and Infinite Machines. Englewood Cliffs, NJ: Prentice-Hall, 1967.
13. N. J. Nilsson, Learning Machines. New York: McGraw-Hill, 1965.
14. B. D. Ripley, Pattern Recogntion and Neural Networks. Cambridge, U.K.: Cambridge Univ. Press, 1996.
15. R. Sun, Integrating Rules and Connectionism for Robust Commonsense Reasoning. New York: Wiley, 1994.
16. R. Sun and L. A. Bookman, Computational Architectures Integrating Neural and Symbolic Processes. Boston, MA: Kluwer, 1995.
17. J. M. Zurada, R. J. Marks, and C. J. Robinson, Computational Intelligence: Imitating Life. Piscataway, NJ: IEEE, 1994.
18. C. W. Omlin and C. L. Giles, “Constructing deterministic finite-state automata in recurrent neural networks,” J. ACM, vol. 43, no. 6, pp. 937–972, 1996.
19. J. W. Shavlik, “Combining symbolic and neural learning,” Machine Learning, vol. 14, no. 3, pp. 321–331, 1994.