Development of Monitoring Tool for Synaptic Weights on Artificial Neural Network 


Vol. 16,  No. 1, pp. 139-144, Feb.  2009
10.3745/KIPSTD.2009.16.1.139


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  Abstract

Neural network is a very exciting and generic framework to develop almost all ranges of machine learning technologies and its potential is far beyond its current capabilities. Among other characteristics, neural network acts as associative memory obtained from the values structurally stored in synaptic inherent structure. Due to innate complexity of neural networks system, in its practical implementation and maintenance, multifaceted problems are known to be unavoidable. In this paper, we present design and implementation details of GUI software which can be valuable tool to maintain and develop neural networks. It has capability of displaying every state of synaptic weights with network nodal relation in each learning step.

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[IEEE Style]

H. K. Shin, "Development of Monitoring Tool for Synaptic Weights on Artificial Neural Network," The KIPS Transactions:PartD, vol. 16, no. 1, pp. 139-144, 2009. DOI: 10.3745/KIPSTD.2009.16.1.139.

[ACM Style]

Hyun Kyung Shin. 2009. Development of Monitoring Tool for Synaptic Weights on Artificial Neural Network. The KIPS Transactions:PartD, 16, 1, (2009), 139-144. DOI: 10.3745/KIPSTD.2009.16.1.139.

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