CONJUGATE GRADIENT POWELL-BEALE TO IMPROVE BACKPROPAGATION PERFORMANCE IN PREDICTING POPULATION AMOUNTS

Sri Wahyuni, Medi Hermanto Tinambunan

Abstract


Abstract:  One of the parts of artificial intelligence is the backpropagation method. However, this method still has limitations, in which its level of convergence is relatively slow so that it needs to be optimized so that it can work optimally. One of the conjugate Gradient Methods that can be used is the Powell-Beale Restarts Conjugate Gradient which is expected to be able to improve the accuracy of predictions, minimizing processing time and minimizing the range of error predicted results. The prediction was conducted in two steps, namely, by implementing the Backpropagation Standard followed by Conjugate Gradient Powell-Beale Restarts. The results obtained by applying Conjugate Gradient Powel-Beale Restarts into the prediction process is that it can increase the value of accuracy, accelerate the data processing, and minimize the error rate.

Keywords :

backpropagation; conjugate gradient powell-beale restarts; artificial intelligence; population


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