A Study on Backpropagation in Artificial Neural Networks
AUTHORS
Ch Sekhar,Department of CSE, VIIT(A), AP, India University, India
P Sai Meghana,Department of CSE, VIIT(A), AP, India University, India
ABSTRACT
Innovation assumes essential job nowadays in human life to limit the manual work. Execution and exactness with innovation will be high. The Backpropagation neural framework is multilayered, feedforward neural framework and is by a full edge the most extensively utilized. It is moreover seen as one of the least demanding and most wide systems used for managed planning of multilayered neural systems. Backpropagation works by approximating the non-direct association between the data and the yield by changing the weight regards inside. It can furthermore be summarized for the data that is rejected from the planning structures (perceptive limits).
KEYWORDS
Backpropagation, ANN, Neuron, Nervous system, MLP, Feedforward networks
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