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Prediction of dissolved oxygen content changes based on two-dimensional behavior features of fish school and T-S fuzzy neural network

Yu-jun Bao Chang-ying Ji Bing Zhang

水科学与水工程Issue(3)：210-217,8.
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水科学与水工程Issue(3)：210-217,8.

Prediction of dissolved oxygen content changes based on two-dimensional behavior features of fish school and T-S fuzzy neural network

Prediction of dissolved oxygen content changes based on two-dimensional behavior features of fish school and T-S fuzzy neural network

Yu-jun Bao 1Chang-ying Ji 2Bing Zhang3

作者信息

  • 1. College of Engineering,Nanjing Agricultural University,Nanjing 210031,China||School of Electrical and Information Engineering,Changzhou Institute of Technology,Changzhou 213032,China
  • 2. College of Engineering,Nanjing Agricultural University,Nanjing 210031,China
  • 3. School of Electrical and Information Engineering,Changzhou Institute of Technology,Changzhou 213032,China
  • 折叠

摘要

关键词

Fish behavior/Cluster feature/DO/Fuzzy neural network/Water quality monitoring

Key words

Fish behavior/Cluster feature/DO/Fuzzy neural network/Water quality monitoring

引用本文复制引用

Yu-jun Bao,Chang-ying Ji,Bing Zhang..Prediction of dissolved oxygen content changes based on two-dimensional behavior features of fish school and T-S fuzzy neural network[J].水科学与水工程,2022,(3):210-217,8.

基金项目

This work was supported by the Natural Science Foundation of Changzhou City,China(Grants No.CE20195026 and CE20205031),the Teaching Steering Committee of Electronics Information Specialty in Colleges and Universities of the Ministry of Education(Grant No.2020-YB-42),and the Jiangsu Overseas Visiting Scholar Program for University Prominent Young and Middle-Aged Teachers and Presidents. （Grants No.CE20195026 and CE20205031）

水科学与水工程

OACSCDCSTPCDEI

1674-2370

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