Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-04-13 DOI:10.1080/08839514.2024.2341356

Yanbo Lu, Tong Li, Ying Deng

引用次数: 0

Abstract

Water pollutions can severely affect water environment, causing water quality degradation and threatening aquatic wildlife. Deemed as guideline for maximum environmental impact assessment, water po...

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用遗传算法耦合混合 BP 人工神经网络预测水污染峰值浓度

水污染会严重影响水环境，导致水质恶化，威胁水生野生动物。水污染被视为最大环境影响评估的准则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.