PENERAPAN JARINGAN SARAF TIRUAN STANDARISASI HARGA BARANG DISTRIBUTOR DI MEDAN DENGAN ALGORITMA LAVENBERG MARQUARDT

Supriyanti Matanari, R. K. Hondro
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Abstract

The Medan Central Bureau of Statistics is tasked with surveying data or calculating quality statistical data and information which includes accuracy of relevance and also for price standardization or determination. The problem in setting the price standard is because many companies raise prices without surveying data first and some other companies do not adjust the price of one to another. To handle this, one method is needed to study and analyze Distributor Item Price data to be uniform, using knowledge of artificial neural network analysis using the Levenberg-Marquardt method. With this activity the Medan Central Bureau of Statistics hopes that the company in an effort to increase customer satisfaction with the products produced can be done by producing a product or item with high quality and quality with balanced pricing in accordance with the conditions in the market (adjusted to community income). The results obtained through this study are the uniformity of the prices of distributor goods in the market, which have previously been through the process of testing and applying mathematically statistically using matlab software.Keywords: Artificial Neural Networks, Levenberg-Marquardt Method, Distributor Prices, MATLAB
现场销售产品的标准化神经网络应用与文贝格MARQUARDT算法
棉兰中央统计局的任务是调查数据或计算质量统计数据和信息,包括相关性的准确性以及价格标准化或确定。制定价格标准的问题在于,很多企业在没有事先调查资料的情况下提高价格,还有一些企业不进行价格调整。为了解决这一问题,需要利用人工神经网络分析的知识,利用Levenberg-Marquardt方法来研究和分析分销商项目价格数据的一致性。通过这项活动,棉兰中央统计局希望该公司能够根据市场情况(根据社区收入调整)生产高质量和均衡定价的产品或项目,从而提高客户对所生产产品的满意度。本研究得到的结果是经销商商品在市场上价格的均一性,之前已经用matlab软件进行了检验和数理统计。关键词:人工神经网络,Levenberg-Marquardt方法,分销商价格,MATLAB
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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