增加下标一致遍历类型的三变量翁张算法及五变量翁张算法在UKGDPNG年预测中的应用

Yunong Zhang, Yining Zhang, Jielong Chen
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引用次数: 1

摘要

国内生产总值(GDP)被认为是衡量国家综合实力的合理指标。因此,GDP增长预测一直是经济学和其他领域学者关注的热点问题。在这篇长篇论文中,作者(即我们)使用了一类被称为WZ(翁章)算法的年份预测(YP)算法来预测英国(United Kingdom) GDP负增长的发生。我们得出的结论是,在2026年、2037年、2042年、2048年、2054年和2068年左右,英国GDP增长低于0的风险更大。
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Three-Variable Weng-Zhang Algorithms with Subscript-Consistent Traversal Type Added as well as Five-Variable Ones Applied to UKGDPNG Year Forecast
Gross domestic product (GDP) is considered as a rational measure of comprehensive national power. Therefore, the forecast of GDP growth is a hot topic for scholars in economics and other fields. In this long paper, the authors (i.e., we) use a class of year-prediction (YP) algorithms so-called WZ (Weng-Zhang) algorithms to predict the occurrences of negative GDP growth of UK (United Kingdom). We conclude that around 2026, 2037, 2042, 2048, 2054, and 2068, the GDP growth of the UK has greater risks of becoming under 0.
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