Title :
Grid Computing based Back Propagation Network
Author :
Ansari, Ahlam Shakeel Ahmed ; Devadkar, Kailas K.
Author_Institution :
Comput. Eng. Dept., Sardar Patel Inst. of Technol., Mumbai, India
Abstract :
Back Propagation Network (BPN) is one of the widely used neural network. Despite of worldwide adoption it suffers from performance degradation if the number of training data set and attributes increase. In this paper, we propose a novel method to improve the performance of BPN using Grid Computing. Using grid a set of disparate resources connected through a middleware can be used for increasing the performance of BPN.
Keywords :
backpropagation; grid computing; middleware; neural nets; BPN; grid computing-based backpropagation network performance improvement; middleware; neural network; performance degradation; training attributes; training data set; Computers; Conferences; Grid computing; Neural networks; Presses; Training; USA Councils; back propagation; grid computing; performance;
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4577-2077-2
DOI :
10.1109/ICCICT.2012.6398173
