R. Varshney

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The ability of a neural network to realize some complex nonlinear function makes them attractive for system identification. In the recent past, neural networks trained with back-propagation (BP) learning algorithm have gained attention for the identification of nonlinear dynamic systems. Slower convergence and longer training times are the disadvantages(More)
In this paper we present idea to make one main tree on master node and slave do processing with database rather than have multiple FP-trees, one for each processor Firstly, the dataset is divided equally among all participating processors Pi. Before the tree construction initiates, every processor must sort the items according to their support count. The(More)
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