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Updated: Jul 27, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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南非通货膨胀模型使用启动的长期短期记忆方法

Sihle Kubheka1

  • 1Department of Computer Science and Applied Mathematics, University of Witswatersrand, Johannesburg Campus, Johannesburg, 2000 South Africa.

SN business & economics
|June 12, 2023
PubMed
概括

深度学习模型,特别是集群启动式长短期记忆 (LSTM),在南非提供了优越的通胀预测,与ARFIMA-GARCH等传统统计模型相比. 这一发现有助于经济政策在不确定的时期.

关键词:
在阿尔菲马马 (ARFIMA) 里.格拉奇 (GARCH) 是一个著名的作家.在GJRGARCH.通货膨胀 这就是通货膨胀.这是LSTM的LSTM.

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