Enhancing the Proficiency of Artificial Neural Network on Prediction with GPU
Neeru Singh, Supriya P. Panda · 2019
Prior efforts in research exhibit that Artificial Neural Network (ANN) proves out to give better and satisfactory results for prediction. This would be helpful for accomplishing decision procedure for future. Apart from this, Graphical Processing Units (GPUs) has a parallel computing environment, which expands the computation ability in a meaningful manner. But there is no specified model to conduct computation for this environment. The application of ANN includes excessive number of matrix operation, for these types of operations; GPUs perform best as they provide parallel computation. In this paper an ANN model with GPU has been proposed that may provide improved results of prediction with GPU over CPU.