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参数季节趋势自回归神经网络用于长期作物价格预测

Woojin Hong1, Seong Cheon Choi2, Seungwon Oh3

  • 1Resource Management Department, Jeonnam Agricultural Research & Extention Services, Naju-si, Jeollanam-do, South Korea.

PloS one
|September 26, 2024
PubMed
概括

由于供应不弹性,预测作物价格具有挑战性. 一个新的混合型号,PaSTANet,提高了长期价格预测准确性作物,如洋和中国卷心菜,有助于市场稳定.

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