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Updated: Sep 16, 2025

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使用人工智能预测城市固体废物产生:一种混合方法,即分析和SHAP,以获得最佳的特征选择

Vahid Nourani1, Aida H Baghanam2, Elham Samadi2

  • 1Center of Excellence in Hydroinformatics and Faculty of Civil Engineering, University of Tabriz, 29 Bahman Ave, Tabriz, Iran; World Peace University, Sht. Kemal Ali Omer St. No:22 Yenisehir, Nicosia/TRNC, Mersin 10, Turkey.

Waste management (New York, N.Y.)
|July 10, 2025
PubMed
概括

这项研究使用混合人工智能模型增强了城市固体废物 (MSW) 生产预测. MI-SHAP特征选择方法通过识别人口和收入等关键因素,提高了准确性.

关键词:
人工神经网络 (ANN) 是一个人工神经网络.奥斯,巴拉拉特和博拉尔斯加穆瓦瓦长时间短期记忆 (LSTM)城市固体废物 (MSW)沙普利的添加式解释 (SHAP)废物管理 废物管理

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