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Updated: Jan 20, 2026

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
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A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

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使用ARIMAX和人工神经网络预测伊拉克的CO2排放:一种比较建模方法

Sham Azad Rahim1, Delshad Shaker Ismael Botani2

  • 1Department of Banking and Finance Science, College of Commerce, University of Sulaimani, Sulaimani, Iraq.

Environmental science and pollution research international
|January 19, 2026
PubMed
概括

准确的二氧化碳 (CO2) 排放预测在伊拉克对于减缓气候变化至关重要. 结合气候数据的混合FNN-RNN模型显著改善了预测,预测到2028年将增加9.18%.

关键词:
阿里马克斯 (ARIMAX) 是一个公司 CO CO CO CO输送神经网络 (FNN) 是指输送神经网络.混合型FNN-RNNN 混合型FNN-RNN伊拉克伊拉克伊拉克伊拉克伊拉克伊拉克伊拉克伊拉克.经常性的神经网络 (RNN)

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