Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
This survey analyzes different approaches in construction of hybrid intelligent systems. Presented the major differences between architecture types of hybrid intelligent systems. Were described advantages and drawbacks of some approaches and architecture types of hybrid intelligent systems. Direction for further research was formulated
  1. Jacobsen H. A. A generic architecture for hybrid intelligent systems. [Text] / H. A. Jacobsen // Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational IntelligenceThe 1998 IEEE International Conference on, Anchorage, AK, 1998, pp. 709-714 vol.1. (In English)
  2. Wermter S. An overview of Hybrid Neural System. [Text] / S. Wermter, R. Sun // Hybrid Neural Systems, Springer-Verlag, 2000, pp. 1-13. (In English)
  3. Kolesnikov A.V. Metologiya I technologiya resheniya slozhnih zadach metodami funkchionalnih hibridbdnyh sistem [Methodology and technology of problems solving by methods of functional hybrid intellectual systems.] [Text] / A.V. Kolesnikov, I.A. Kirikov // Metologiya I technologiya resheniya slozhnih zadach metodami funkchionalnih hibridbdnyh sistem, Moscow: IPI RAN, 2007, p. 387. (In Russian)
  4. Wermter S. Towards Hybrid Neural Learning Internet Agents. [Text] / S. Wermter, G. Arevian, C. Panchev // Hybrid Neural Systems. Springer-Verlag, 2000, pp. 160-176. (In English)
  5. Omlin C.W. Extraction of rules from discrete-time recurrent neural networks. [Text] / C.W. Omlin, C.L. Giles // Neural Networks, Vol. 9, No. 1, 1996, pp. 41-52. (In English)
  6. Shavlik J.W. A framework for combining symbolic and neural learning. [Text] / J.W. Shavlik // Artificial Intelligence and Neural Networks: Steps Toward Principled Integration. Academic Press, Boston. 1994, pp. 561-580. (In English)
  7. Fu L.M. Neural Networks in Computer Intelligence. [Text] / L.M. Fu // Neural Networks in Computer Intelligence. McGraw-Hill, Inc., New York, NY, 1994. (In English)
  8. Sun. R. Integrating Rules and Connectionism for Robust Commonsense Reasoning. [Text] / R. Sun. // Integrating Rules and Connectionism for Robust Commonsense
  9. Reasoning. John Wiley and Sons, New York, NY, 1994. (In English) Wermter S. SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks [Text] / S. Wermter, V. Weber // Journal of Artificial Intelligence Research, Volume 6, 1997, pp 35-85. (In English)
  10. Kraetzschmar G.K. Application of neurosymbolic integration for environment modelling in mobile robots. [Text] / G.K. Kraetzschmar, S. Sablatnoeg, S. Enderle, G. Palm // Hybrid Neural Systems. Springer-Verlag, 2000, pp 387-401. (In English)
  11. Medsker L. R. Hybrid Neural Network and Expert Systems. [Text] / L. R. Medsker // Hybrid Neural Network and Expert Systems, Springer Science+Business Media, New York, 1994. (In English)
  12. Kwasny S.C. Connectionism and determinism in a syntactic parser. [Text] / S.C. Kwasny, K.A. Faisal // Connectionist natural language processing. Springer Science+Business Media, Dordrech, 1992, pp 119-162. (In English)
  13. Hendler J. Developing hybrid symbolic/connectionist models. [Text] / J. Hendler // Advances in Connectionist and Neural Computation Theory, Vol.1: High Level Connectionist Models, Ablex Publishing Corporation, Norwood, NJ, 1991, pp. 165-179. (In English)
  14. Tirri H. Replacing the pattern matcher of an expert system with a neural network. [Text] / H. Tirri // Intelligent Hybrid Systems, John Wiley and Sons, 1995, pp. 47-62. (In English)
  15. Gavrilov A.V. Hibridnuye intelliktualnie sistemu [Hybrid Intelligent Systems] [Text] / A.V. Gavrilov // Hibridnuye intelliktualnie sistemu Monographiya, Novosibirsk, NSTU Publishing house, 2002, p.142. (In Russian)
  16. Hayes-Roth F. Focus of attention in the Hearsay-II speech understanding system. [Text] / F. Hayes-Roth, V.R. Lesser // IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1, Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, 1977, pp. 27-35. (In English)
  17. Erman L.D. The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty. [Text] / L.D. Erman, F. Hayes-Roth, V.R. Lesser, D.R. Reddy // ACM Computing Surveys, Vol: 12, Num: 2, ACM New York, USA, 1980, pp. 213 – 253. (In English)
  18. Hofstadter D. The Copycat Project: A Model of Mental Fluidity and Analogy-making. [Text] / D. Hofstadter, M. Mitchell // Fluid concepts and creative analogies, Basic Books, Inc. New York, NY, USA, 1995, pp. 205 – 267. (In English)
  19. Dr. Hunt J. Blackboard Architectures.” /   Dr. J. Hunt // Blackboard Architectures, JayDee Technology Ltd., 2002 (In English)
  20. Fedorova G.S. Rosroblennia metodyky pobudovy hibridnoyi intelleknualnoyi systemy dliya rishenniya osnovnih zadach data mining [Development of the method of construction of hybrid intelligent system to solve basic problems of Data Mining] [Text] / G.S. Fedorova // master thesis – Kharkiv, Ukraine: KHNEU. 2011 (In Ukrainian)
  21. Kolesnikov A. Problem-Structure Techology for Hybrid Intelligent Systems Development [Text] / A. Kolesnikov // FOURTH IEEE INTERNATIONAL BALTIC WORKSHOP ON DB AND IS BalticDB&IS'2000, Vilnius, Lithuania, May 1-5, 2000. (In English)
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