采用MATLAB对宋基丝质企业的生产预测预测

Rima Liana Gema, Devia Kartika
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引用次数: 2

摘要

人工神经网络中使用的一种方法是反向传播算法,它广泛应用于预测和模式识别。松ket是西苏门答腊Sawahlunto市原始Silungkang工匠的熟练手工作品之一,他们有各种独特的图案和图案。本研究采用反向传播算法寻找最佳训练模式,以方便在Matlab应用程序中确定四龙康松鸡业务的产量预测。所获得的最佳训练模式预计将用于测试阶段的数据处理,以便对未来的歌曲制作业务进行预测。关键词:制作,歌曲,反向传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ALGORITMA PROPAGASI BALIK DALAM PENCARIAN POLA TRAINING TERBAIK UNTUK MENENTUKAN PREDIKSI PRODUKSI USAHA SONGKET SILUNGKANG DENGAN MENGGUNAKAN MATLAB
One method used in Artificial Neural Networks is a backpropagation algorithm that is widely used in predicting and pattern recognition. Songket is one of the works of skilled hands of the original Silungkang craftsmen, Sawahlunto City, West Sumatra who have varied and unique patterns and motifs. This study uses a back propagation algorithm to find the best training pattern to facilitate the determination of the production prediction of Silungkang songket business using the Matlab application. The best training patterns obtained are expected to be used in data processing at the testing stage in order to obtain predictions for the production of songket business for the future. Keywords: production, songket, back propagation.
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