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Updated: Jun 6, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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通过使用新型多变量模糊时间序列模型,对马来西亚的水价格和生产进行了改进的预测

Muhammad Bilal1,2,3, Masad A Alrasheedi4, Muhammad Aamir1

  • 1Department of Statistics, Abdul Wali Khan University Mardan, Mardan, 23200, Pakistan.

Scientific reports
|December 2, 2024
PubMed
概括

本研究引入了先进的模糊时间序列模型,用于预测马来西亚大米价格和产量. 与形模糊数字 (TrFNs) 配合的模糊向量自回归模型与传统方法相比,提供更高的准确性,帮助利益相关者做出决策.

关键词:
模糊向量 自动回归模型平均绝对百分比错误的平均值.多变量模糊时间序列.形模糊数字的模糊数字.三角形模糊数字的模糊数字.

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