Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

Aquacultural Engineering ◽

10.1016/j.aquaeng.2020.102085 ◽

2020 ◽

Vol 90 ◽

pp. 102085 ◽

Author(s):

Qin Ren ◽

Xuanyu Wang ◽

Wenshu Li ◽

Yaoguang Wei ◽

Dong An

Keyword(s):

Dissolved Oxygen ◽

Deep Belief Network ◽

Belief Network ◽

Recirculating Aquaculture ◽

Recirculating Aquaculture Systems

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Application of an adaptive PID controller enhanced by a differential evolution algorithm for precise control of dissolved oxygen in recirculating aquaculture systems

Biosystems Engineering ◽

10.1016/j.biosystemseng.2021.05.019 ◽

2021 ◽

Vol 208 ◽

pp. 186-198

Author(s):

Xinhui Zhou ◽

Daoliang Li ◽

Lu Zhang ◽

Qingling Duan

Keyword(s):

Dissolved Oxygen ◽

Differential Evolution ◽

Pid Controller ◽

Differential Evolution Algorithm ◽

Precise Control ◽

Recirculating Aquaculture ◽

Recirculating Aquaculture Systems ◽

Evolution Algorithm

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Modelling and controlling dissolved oxygen in recirculating aquaculture systems based on mechanism analysis and an adaptive PID controller

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2021.106583 ◽

2022 ◽

Vol 192 ◽

pp. 106583

Author(s):

Xinhui Zhou ◽

Jianping Wang ◽

Lin Huang ◽

Daoliang Li ◽

Qingling Duan

Keyword(s):

Dissolved Oxygen ◽

Pid Controller ◽

Mechanism Analysis ◽

Recirculating Aquaculture ◽

Recirculating Aquaculture Systems

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Research on a dissolved oxygen prediction method for recirculating aquaculture systems based on a convolution neural network

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2017.12.037 ◽

2018 ◽

Vol 145 ◽

pp. 302-310 ◽

Author(s):

Xuxiang Ta ◽

Yaoguang Wei

Keyword(s):

Neural Network ◽

Dissolved Oxygen ◽

Prediction Method ◽

Convolution Neural Network ◽

Recirculating Aquaculture ◽

Recirculating Aquaculture Systems

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A Novel Methodology for Process Monitoring by Using Deep Belief Network

SSRN Electronic Journal ◽

10.2139/ssrn.3604720 ◽

2020 ◽

Author(s):

Jonathan Antoine ◽

John Lundberg

Keyword(s):

Process Monitoring ◽

Deep Belief Network ◽

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Application of Electrochemical Treatment for the effluent from Marine Recirculating Aquaculture Systems

Procedia Environmental Sciences ◽

10.1016/j.proenv.2011.09.363 ◽

2011 ◽

Vol 10 ◽

pp. 2329-2335 ◽

Author(s):

Xing Yunqing ◽

Lin Jianwei

Keyword(s):

Electrochemical Treatment ◽

Recirculating Aquaculture ◽

Recirculating Aquaculture Systems

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Software Defect Prediction via Deep Belief Network

Chinese Journal of Electronics ◽

10.1049/cje.2019.06.012 ◽

2019 ◽

Vol 28 (5) ◽

pp. 925-932

Author(s):

Hua WEI ◽

Chun SHAN ◽

Changzhen HU ◽

Yu ZHANG ◽

Xiao YU

Keyword(s):

Deep Belief Network ◽

Defect Prediction ◽

Software Defect Prediction ◽

Belief Network ◽

Software Defect

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Autonomic Workload Performance Modeling for Large-Scale Databases and Data Warehouses through Deep Belief Network with Data Augmentation using Conditional Generative Adversarial Networks

IEEE Access ◽

10.1109/access.2021.3096039 ◽

2021 ◽

pp. 1-1

Author(s):

Nusrat Shaheen ◽

Basit Raza ◽

Ahmad Raza Shahid ◽

Ahmad Kamran Malik

Keyword(s):

Large Scale ◽

Performance Modeling ◽

Data Augmentation ◽

Deep Belief Network ◽

Generative Adversarial Networks ◽

Data Warehouses ◽

Belief Network ◽

Adversarial Networks

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Pose accuracy compensation of mobile industry robot with binocular vision measurement and deep belief network

Optik ◽

10.1016/j.ijleo.2021.166716 ◽

2021 ◽

Vol 238 ◽

pp. 166716

Author(s):

Wei Wang ◽

Wei Tian ◽

Wenhe Liao ◽

Bo Li

Keyword(s):

Binocular Vision ◽

Deep Belief Network ◽

Belief Network ◽

Vision Measurement ◽

Mobile Industry

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Supervised Deep Belief Network for Quality Prediction in Industrial Processes

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.3035464 ◽

2021 ◽

Vol 70 ◽

pp. 1-11

Author(s):

Xiaofeng Yuan ◽

Yongjie Gu ◽

Yalin Wang

Keyword(s):

Deep Belief Network ◽

Industrial Processes ◽

Quality Prediction ◽

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Inverse filtering method of bare thermocouple for transient high-temperature test with improved deep belief network

IEEE Access ◽

10.1109/access.2020.3048996 ◽

2021 ◽

pp. 1-1

Author(s):

Chenyang Zhao ◽

Zhijie Zhang

Keyword(s):

High Temperature ◽

Deep Belief Network ◽

Inverse Filtering ◽

Belief Network ◽

Filtering Method ◽

Temperature Test

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