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Year 2018, Volume: 3 Issue: 2, 34 - 35, 31.12.2018

Abstract

References

  • [1] D. Bayram Kara, and S. Seker, “An Artificial Neuro Detector and its Cognitive Interpretation for Engineering Systems”, The Journal of Cognitive Systems, Vol. 3, No.1, 2018, pp. 5-8.
  • [2] A. Horiushkina, S. Seker, and U. Korkmaz, “A Cognitive Approach to Neural Network Model Based on The Communication System by an Information Criteria”, The Journal of Cognitive Systems, Vol.3, No.1, 2018, pp.1-4.
  • [3] Y. Wang, “On Abstract Intelligence and Brain Informatics”, International Journal of Cognitive Informatics and Natural Intelligence, Vol.6, No.4, 2012, pp.54-80.
  • [4] Y. Wang, “Cognitive Foundations of Knowledge Science and Deep Knowledge Learning by Cognitive Robots”, 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017, doi:10.1109/icci-cc.2017.8109802.
  • [5] Y. Wang, “Cognitive Informatics: Towards Future Generation Computers that Think and Feel”, 2006 5th IEEE International Conference on Cognitive Informatics, 2006, doi:10.1109/coginf.2006.365666.
  • [6] Y. Wang, “Cognitive Computing and Machinable Thought”, 2009 8th IEEE International Conference on Cognitive Informatics, 2009, doi:10.1109/coginf.2009.5250709.
  • [7] J. Breslavets, and A. Horiushkina, “Cognitive Design Methods for Computer Games Content”, The Journal of Cognitive Systems, Vol.2, No.2, 2017, pp. 55-58.
  • [8] A. Schierwagen, “Complex Neuro-Cognitive Systems”, Lecture Notes in Computer Science Foundations on Natural and Artificial Computation, 2011, pp.1-9. doi:10.1007/978-3-642-21344-1_1.
  • [9] R. Velik, “Cognitive Architectures as Building Energy Management System for Future Renewable Energy Scenarios; A Work in Progress Report”, International Journal of Science and Engineering Investigations, Vol.2, No.17, 2013, pp.67-72.

A NEW COGNITIVE SYSTEM MODELING WITH THE COMBINATION OF EXPERT AND NEURAL NETWORK SYSTEMS

Year 2018, Volume: 3 Issue: 2, 34 - 35, 31.12.2018

Abstract

In
this paper definition of cognitive systems and its operation principle are mentioned.
As a sequence, combination of expert and artificial neural network (ANN) is introduced
as a cognitive system. In this approach, decision is taken by human based
expert and these expert based information is coded and presented to a neural
network system as a learning system. The procedure to be followed is simply
described in the context. Then the algorithms of making a neural network as a
cognitive system by logics from a human expert – which is a cognitive system –
system are announced.

References

  • [1] D. Bayram Kara, and S. Seker, “An Artificial Neuro Detector and its Cognitive Interpretation for Engineering Systems”, The Journal of Cognitive Systems, Vol. 3, No.1, 2018, pp. 5-8.
  • [2] A. Horiushkina, S. Seker, and U. Korkmaz, “A Cognitive Approach to Neural Network Model Based on The Communication System by an Information Criteria”, The Journal of Cognitive Systems, Vol.3, No.1, 2018, pp.1-4.
  • [3] Y. Wang, “On Abstract Intelligence and Brain Informatics”, International Journal of Cognitive Informatics and Natural Intelligence, Vol.6, No.4, 2012, pp.54-80.
  • [4] Y. Wang, “Cognitive Foundations of Knowledge Science and Deep Knowledge Learning by Cognitive Robots”, 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017, doi:10.1109/icci-cc.2017.8109802.
  • [5] Y. Wang, “Cognitive Informatics: Towards Future Generation Computers that Think and Feel”, 2006 5th IEEE International Conference on Cognitive Informatics, 2006, doi:10.1109/coginf.2006.365666.
  • [6] Y. Wang, “Cognitive Computing and Machinable Thought”, 2009 8th IEEE International Conference on Cognitive Informatics, 2009, doi:10.1109/coginf.2009.5250709.
  • [7] J. Breslavets, and A. Horiushkina, “Cognitive Design Methods for Computer Games Content”, The Journal of Cognitive Systems, Vol.2, No.2, 2017, pp. 55-58.
  • [8] A. Schierwagen, “Complex Neuro-Cognitive Systems”, Lecture Notes in Computer Science Foundations on Natural and Artificial Computation, 2011, pp.1-9. doi:10.1007/978-3-642-21344-1_1.
  • [9] R. Velik, “Cognitive Architectures as Building Energy Management System for Future Renewable Energy Scenarios; A Work in Progress Report”, International Journal of Science and Engineering Investigations, Vol.2, No.17, 2013, pp.67-72.
There are 9 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Behnaz Alafi This is me 0000-0002-0073-6566

Publication Date December 31, 2018
Published in Issue Year 2018 Volume: 3 Issue: 2

Cite

APA Alafi, B. (2018). A NEW COGNITIVE SYSTEM MODELING WITH THE COMBINATION OF EXPERT AND NEURAL NETWORK SYSTEMS. The Journal of Cognitive Systems, 3(2), 34-35.