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Knowledge Management System development by deploying ART Artificial Neural Networks Algorithm

Authors(2):

Chris M. Jayachandran, Dr. Shyamala Kannan
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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.

Chris M. Jayachandran, Dr. Shyamala Kannan

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 Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
486-492 IJSRSET1522144   Technoscience Academy

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.
URL : http://ijsrset.com/IJSRSET1522144.php