Analysis Resilient Algorithm on Artificial Neural Network Backpropagation
Widodo Saputra, Tulus Tulus, Muhammad Zarlis, Rahmat Widia Sembiring, Dedy Hartama · Journal of Physics Conference Series · 2017
Prediction required by decision makers to anticipate future planning. Artificial Neural Network (ANN) Backpropagation is one of method. This method however still has weakness, for long training time. This is a reason to improve a method to accelerate the training. One of Artificial Neural Network (ANN) Backpropagation method is a resilient method. Resilient method of changing weights and bias network with direct adaptation process of weighting based on local gradient information from every learning iteration. Predicting data result of Istanbul Stock Exchange training getting better. Mean Square Error (MSE) value is getting smaller and increasing accuracy.