Knowledge Management System development by deploying ART Artificial Neural Networks Algorithm

Authors(2) :-Chris M. Jayachandran, Dr. Shyamala Kannan

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 486-492
Manuscript Number : IJSRSET1522144
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET1522144

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