Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network

被引：0
|
作者：
An, Wentian [1 ]
机构：
[1] Northeastern Univ, Sch Met, Shenyang 110819, Peoples R China
来源：
3D IMAGING-MULTIDIMENSIONAL SIGNAL PROCESSING AND DEEP LEARNING, VOL 1 | 2022年 / 297卷
关键词：
Artificial neural network; Water environment; Levenberg-Marquardt; Water environmental quality assessment;
D O I：
10.1007/978-981-19-2448-4_9
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Water environmental quality is an important criterion to promote China's sustainable development strategy and the main direction of China's scientific research and technological innovation. Based on the current situation of water environmental quality evaluation, the artificial neural network and its prediction model were constructed, and the Levenberg-Marquardt optimization algorithm was used to evaluate the water environmental quality.
引用
收藏
页码：91 / 100
页数：10
相关论文
共 50 条
  • [21] Using water quality parameters to prediction of the ion-based trihalomethane by an artificial neural network model
    Babaei, Ali Akbar
    Tahmasebi Birgani, Yaser
    Baboli, Zeynab
    Maleki, Heydar
    Ahmadi Angali, Kambiz
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (08)
  • [22] Water Quality Prediction: Multi Objective Genetic Algorithm coupled Artificial Neural Network based approach
    Chatterjee, Sankhadeep
    Sarkar, Sarbartha
    Dey, Nilanjan
    Sen, Soumya
    Goto, Takaaki
    Debnath, Narayan G.
    2017 IEEE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2017, : 963 - 968
  • [23] Integrated artificial neural network prediction model of indoor environmental quality in a school building
    Cho, Ji Hyeon
    Moon, Jin Woo
    JOURNAL OF CLEANER PRODUCTION, 2022, 344
  • [24] Indoor Air Quality Assessment Based on Genetic Artificial Neural Network
    Du, Zhehua
    ADVANCES IN ENVIRONMENTAL TECHNOLOGIES, PTS 1-6, 2013, 726-731 : 1147 - 1150
  • [25] Evaluation of Water Quality based on artificial neural network using VB
    Zhu, Changjun
    Zhao, Xiujuan
    ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 1, 2008, : 538 - 541
  • [26] Application of Artificial Neural Network to the Assessment Environmental Quality of Urban wetland in Northeast China
    Li Ji-guang
    Ren Yi-bin
    Wang Qi-shuo
    Tian Shuangqi
    He Ji-wei
    Wang He
    Lu Xian-guo
    Ren Nan-qi
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 1455 - +
  • [27] Artificial Neural Network Model for the Prediction of Groundwater Quality
    Khudair, Basim H.
    Jasim, Mustafa M.
    Alsaqqar, Awatif S.
    CIVIL ENGINEERING JOURNAL-TEHRAN, 2018, 4 (12): : 2959 - 2970
  • [28] Prediction of semen quality using artificial neural network
    Badura, Anna
    Marzec-Wroblewska, Urszula
    Kaminski, Piotr
    Lakota, Pawel
    Ludwikowski, Grzegorz
    Szymanski, Marek
    Wasilow, Karolina
    Lorenc, Andzelika
    Bucinski, Adam
    JOURNAL OF APPLIED BIOMEDICINE, 2019, 17 (03) : 167 - 174
  • [29] Application of Artificial Neural Network in Weld Quality Prediction
    Ming, Zhou
    Gavrilov, Alexandre
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS I AND II, 2009, : 403 - 405
  • [30] Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
    Jadhav, Anuja R. R.
    Pathak, Pranav D. D.
    Raut, Roshani Y. Y.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (02)
12345