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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 2, 2013.
Abstract: Method for visualization of learning processes for back propagation neural network is proposed. The proposed method allows monitor spatial correlations among the nodes as an image and also check a convergence status. The proposed method is attempted to monitor the correlation and check the status for spatially correlated satellite imagery data of AVHRR derived sea surface temperature data. It is found that the proposed method is useful to check the convergence status and also effective to monitor the spatial correlations among the nodes in hidden layer.
Kohei Arai , “Visualization of Learning Processes for Back Propagation Neural Network Clustering” International Journal of Advanced Computer Science and Applications(IJACSA), 4(2), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040235
@article{2013,
title = {Visualization of Learning Processes for Back Propagation Neural Network Clustering},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040235},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040235},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {2},
author = {Kohei Arai }
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.