预测消费者对中国产品的兴趣,使用人工神经网络(ANN)

K. Samosir
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引用次数: 0

摘要

天思是一家销售健康产品的公司。这家公司很难预测人们对高需求产品的兴趣。通过准确地了解消费者对产品的兴趣,它将增加销售。本研究旨在预测消费者对天思产品的兴趣。所使用的方法是人工神经网络(ANN)技术之一,即动量反向传播。测试的销售数据来自Stockist 319 Padang。本研究可以准确确定消费者兴趣的结果是建筑5-2-1和5-3-1。从而使本研究对采购商品增加销售价值有很大的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediksi Minat Konsumen Terhadap Produk Perusahaan Direcet Selling Tianshi Menggunakan Artificial Neural Network (ANN)
Tiansi is a company that markets health products. This company has difficulty predicting people's interest in products that are in high demand. By knowing precisely the consumer interest in the product, it will increase sales. The research aims to predict consumer interest in Tiansi products appropriately. The method used is one of the Artificial Neural Network (ANN) techniques, namely Backpropagation with Momentum. The sales data tested were sourced from Stockist 319 Padang. The results of this research that can precisely determine consumer interest are architecture 5-2-1 and 5-3-1. So that this research is very helpful in the procurement of goods to increase the value of sales.
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