Petri Net Models of Fuzzy Neural Networks

IEEE Transactions on Systems, Man, and Cybernetics

Volumn 25, Issue 6, 1995, Pages 926-932

  Ahson, Syed I ^a  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE NEURAL PROCESSOR; BIOLOGICAL NEURONS; COMPUTATIONAL STRUCTURES; DISTRIBUTED SYSTEMS; FEEDBACK INTERCONNECTIONS; FUZZY KNOWLEDGE BASE; FUZZY NEURAL PETRI NETS; FUZZY REASONING; MCCULLOCK-PITTS MODEL;

ADAPTIVE SYSTEMS; AUTOMATA THEORY; COMPUTATION THEORY; COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PETRI NETS; STRUCTURED PROGRAMMING;

NEURAL NETWORKS;

EID: 0029324816     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/21.384255     Document Type: Article

References (16)

1. J. M. Zurada, Introduction to Artificial Neural Systems. St. Paul, MN: West Publishing, 1992.
2. J. L. Peterson, Petri Nets Theory and Modeling of Systems. Englewood Cliffs, NJ: Prentice-Hall, 1981.
3. H. J. Genrich and G. Thieler-Mevissen, “The calculus of facts,” in Lecture Notes in Computer Science. Berlin: Springer-Verlag, 1976, vol. 45, pp. 588–595.
4. H. J. Genrich and K. Lautenbach, “System modelling with high-level Petri nets,” Theoret. Comp. Sci., vol. 13, pp. 109–136, 1981.
5. C. G. Looney, “Fuzzy Petri net for rule-based decision making,” IEEE Trans. Syst. Man Cyber., vol. 14, pp. 178–183, 1988.
6. S.-M. Chan, J.-S. Ke and J. F. Chang, “Knowledge representation using fuzzy Petri net,” IEEE Trans. Knowl. Data Eng., vol. 2, pp. 311–319, 1990.
7. M. L. Garg, S. I. Ahson and P. V. Gupta, “A fuzzy Petri net for knowledge representation and reasoning,” Inform. Proc. Lett., vol. 39, pp. 165–171, 1991.
8. W. S. McCullock and W. H. Pitts, “A logical calculus of the ideas imminent in nervous activity,” Bull. Math. Biophys., vol. 5, pp. 115–133, 1943.
9. M. K. Habib and R. W. Newcomb, “Neuron type processor modeling using a timed Petri net,” IEEE Trans. Neural Networks, vol. 1, pp. 282–289, 1990.
10. K. Venkatesh, O. Masory and A. Pandya, “A high level Petri net model of olfactory bulb,” Proc. 1993 IEEE Int. Conf. on Neural Networks, Mar./Apr. 1993, vol. 2, pp. 766–771.
11. M. L. Ginsberg, “Nonmonotonic reasoning using Dempster's rule,” in Proc. Xth AAAI, pp. 126–129, 1984.
12. L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes,” IEEE Trans. Syst. Man Cyber., vol. 3, pp. 28–44, 1973.
13. C. Ramachandani, “Analysis of asynchronous concurrent systems by timed Petri nets,” MIT, Cambridge, MA, Tech. Rep. MAC-TR-120, 1974.
14. C. J. Pereg-Vicente, J. Carrabina and E. Valderma, “Discrete learning in feedforward neural networks,” Int. J. Neural Syst., vol. 2., pp. 323–329, 1991.
15. G. Peterka and T. Murata, “Proof procedure and answer extraction in Petri net model of logic programs,” IEEE Trans. Software Eng., vol. 15, pp. 209–217, 1989.
16. D. Tabak and A. H. Levis, “Petri net representation of decision models,” IEEE Trans. Syst. Man Cyber., vol. 15, pp. 812–818, 1985.