The Parallel ANN(Artificial Neural Network) Simulator using Mobile Agent


KIPS Transactions on Computer and Communication Systems, Vol. 13, No. 6, pp. 615-624, Jun. 2006
10.3745/KIPSTB.2006.13.6.615, Full Text:

Abstract

The objective of this paper is to implement parallel multi-layer ANN(Artificial Neural Network) simulator based on the mobile agent system which is executed in parallel in the virtual parallel distributed computing environment. The Multi-Layer Neural Network is classified by training session, training data, layer, node, and weight in the parallelization-level. In this study, We have developed and evaluated the simulator with which it is feasible to parallel the ANN in the training session and training data parallelization because these have relatively few network traffic. In this results, we have verified that the performance of parallelization is high about 3.3 times in the training session and training data. The great significance of this paper is that the performance of ANN's execution on virtual parallel computer is similar to that of ANN's execution on existing super-computer. Therefore, we think that the virtual parallel computer can be considerably helpful in developing the neural network because it decreases the training time which needs extra-time.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
Y. M. Cho and T. W. Kang, "The Parallel ANN(Artificial Neural Network) Simulator using Mobile Agent," KIPS Journal B (2001 ~ 2012) , vol. 13, no. 6, pp. 615-624, 2006. DOI: 10.3745/KIPSTB.2006.13.6.615.

[ACM Style]
Yong Man Cho and Tae Won Kang. 2006. The Parallel ANN(Artificial Neural Network) Simulator using Mobile Agent. KIPS Journal B (2001 ~ 2012) , 13, 6, (2006), 615-624. DOI: 10.3745/KIPSTB.2006.13.6.615.