Heuristic Techniques On Weight Optimization Of Backpropagation Neural Network

Khoiriya Latifah, Ika Novita Dewi, P. IkaAyuAmelia, P. RichardusAnggi
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引用次数: 3

Abstract

The number of visitors the immigration office who made passport or passport renewal every month is very volatile, this problems make the Immigration Office maintain quality of service, thus requiring prediction methods when there will be a surge of visitors so that the quality of service is maintained. The immigration office should have some information to make predictions. Perfect information will make it easier , good predictions and accurate predictions. The exact method is one of the method predict accurately. Its called artificial neural network that a computational method mimics system of neural network biology. Artificial neural networks are formed to solve a particular problem such as pattern recognition or classification because of the learning process.This study uses Heuristic Backpropagation to increase the speed of the training process of neurons in making predictions.
反向传播神经网络权重优化的启发式技术
移民局每个月制作护照或更新护照的游客数量非常不稳定,这个问题使得移民局保持服务质量,因此需要预测何时会出现游客激增的方法,以保持服务质量。移民局应该有一些信息来做出预测。完美的信息会让事情变得更容易,好的预测和准确的预测。精确法是准确预测的方法之一。人工神经网络是一种模拟神经网络生物学的计算方法。人工神经网络的形成是为了解决特定的问题,如模式识别或分类,因为学习过程。本研究使用启发式反向传播来提高神经元在预测中的训练速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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