利用反向传播算法确定北苏门答腊人均支出的最佳性能

Yogi Pratama, Solikhun Solikhun
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引用次数: 0

摘要

为了维持印度尼西亚的人均收入,政府必须采取行动,加强国家保护。人均是指一个国家所有居民的平均收入。人均收入是由一个国家的国民收入按该国总人口的分配得出的。根据中央统计局(BPS)的数据,2020年北苏门答腊岛的人均人口有所减少。作者将使用反向传播算法进行演示。反向传播是人工神经网络的一种方法,在解决这类问题上是非常可靠的。研究中使用了5个模型:4-15-1,4 -30-1,k4-45-1, 4-60- 1,4。因此,体系结构模型4 -75-1在k452迭代次下提供了最好的精度,MSE为0.00001536
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Determining the Best Performance Using the Backpropagation Algorithm for Expenditure per Capita in North Sumatra
In an effort to maintain per capita income in Indonesia, the Government must take action through strengthening national protection. Per capita is the average income of all residents in a country. Per capita income is obtained from the distribution of the national income of a country by the total population of that country. There is a decrease in the population per capita of North Sumatra at the Central Statistics Agency (BPS) in 2020. The author will use the backpropagation algorithm to make a performance. Backpropagation iskone ofkmethodkartificial neural networklquite reliablejinlsolvekproblem. In researchj5 models are usedlarchitecture: 4-15-1, 4-30-1,k4-45-1, 4-60-1, 4.-75-1, fromjfive modelslThus, the architectural model 4 -75-1 provides the best accuracy withK452 iteration epochs and MSE is 0.00001536
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