Knowledge Management System development by deploying ART Artificial Neural Networks Algorithm

Authors

  • Chris M. Jayachandran  Department of Computer Applications (M.C.A), Loyola College (Autonomous), Chennai, Tamilnadu, India
  • Dr. Shyamala Kannan   Department of Computer Science, Dr. Ambedkar Govt. Arts College, Vyasarpadi, Chennai, Tamilnadu, India

Keywords:

Knowledge Management, Knowledge Assets, Knowledge Walkouts, Tacit Knowledge, Knowledge Artifacts, Knowledge Maps, ART Algorithm – Plasticity and Stability, Organizational Memory.

Abstract

Application of ART Neural Network Algorithm for Knowledge Management System development is one of its kinds Research Work. This pioneering effort is the fusion of domains such as Knowledge Management (KM) and Artificial Neural Networks. This Research Work is the modular fine-tuning in the existing KM Systems development methodologies. This paper proposes the sure-to-yield-results ‘Plasticity-stability’ feature of ART Neural Networks in KM System development. The proposed solution is groundbreaking that nullifies many of the disadvantages that prevailing KM system development life-cycle has under its belt.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-04-25

Issue

Volume 1, Issue 2, March-April-2015

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Chris M. Jayachandran, Dr. Shyamala Kannan , " Knowledge Management System development by deploying ART Artificial Neural Networks Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.486-492, March-April-2015.