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检索条件"主题词=Back-Propagation algorithm"
208 条 记 录,以下是101-110 订阅
排序:
Combined Relay Selection Enabled by Supervised Machine Learning
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年 第4期70卷 3938-3943页
作者: Dang, Shuping Tang, Jiashen Li, Jun Wen, Miaowen Abdullah, Salwani Li, Chengzhong Guangxi Huanan Commun Co Ltd R&D Ctr Nanning 530007 Peoples R China King Abdullah Univ Sci & Technol KAUST Comp Elect & Math Sci & Engn Div Thuwal 239556900 Saudi Arabia Univ Kebangsaan Malaysia Fac Informat Sci & Technol Ctr Artificial Intelligence Bangi 43600 Selangor Malaysia Guangzhou Univ Sch Elect & Commun Engn Ctr Intelligent Commun Engn Guangzhou 510006 Peoples R China South China Univ Technol Sch Elect & Informat Engn Guangzhou 510641 Peoples R China
Combined relay selection only requires two relays to forward signals transmitted on multiple subcarriers, but the optimal outage performance is almost surely achievable in the high signal-to-noise ratio (SNR) region. ... 详细信息
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Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation
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ARTIFICIAL INTELLIGENCE IN MEDICINE 2014年 第1期61卷 1-10页
作者: El-Nagar, Ahmad M. El-Bardini, Mohammad Menoufia Univ Fac Elect Engn Dept Ind Elect & Control Engn Menoufia 32852 Egypt
Objective: This manuscript describes the use of a hardware-in-the-loop simulation to simulate the control of a multivariable anesthesia system based on an interval type-2 fuzzy neural network (IT2FNN) controller. Meth... 详细信息
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Biologically Fe2+ oxidizing fluidized bed reactor performance and controlling of Fe3+ recycle during heap bioleaching:: an artificial neural network-based model
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BIOPROCESS AND BIOSYSTEMS ENGINEERING 2008年 第2期31卷 111-117页
作者: Ozkaya, Bestamin Sahinkaya, Erkan Nurmi, Pauliina Kaksonen, Anna H. Puhakka, Jaakko A. Tampere Univ Technol Inst Environm Engn & Biotechnol FIN-33101 Tampere Finland
The performance of a biological Fe2+ oxidizing fluidized bed reactor (FBR) was modeled by a popular neural network-back-propagation algorithm over a period of 220 days at 37 degrees C under different operational condi... 详细信息
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A neural network model for environmental predication: Case study for China
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COMPUTERS & INDUSTRIAL ENGINEERING 1996年 第3-4期31卷 879-883页
作者: Sun, LY Wang, Y Management School of Man Jiaotong University Xian Shaanxi P.R.China 710049
In this paper, the popular training method back-propagation (BP) of Nueral Networks (NN) is modified by introducing two parameters into the procedure in order to speed learning and improve the convergence. The modifie... 详细信息
来源: 评论
Artificial neural network for predicting nuclear power plant dynamic behaviors
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NUCLEAR ENGINEERING AND TECHNOLOGY 2021年 第10期53卷 3275-3285页
作者: El-Sefy, M. Yosri, A. El-Dakhakhni, W. Nagasaki, S. Wiebe, L. McMaster Univ Dept Civil Engn NSERC CREATE Program Canadian Nucl Energy Infrastruct R Hamilton ON L8S 4L7 Canada McMaster Univ Dept Civil Engn Inst Multihazard Syst Risk Studies INTERFACE Hamilton ON L8S 4L7 Canada McMaster Univ Dept Civil Engn NSERC CaNRisk CREATE Program Hamilton ON L8S 4L7 Canada McMaster Univ Teh INTERFACE Inst Hamilton ON L8S 4L7 Canada McMaster Univ Dept Engn Phys Hamilton ON L8S 4L7 Canada
A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, the different sys-tems in NPPs (e.... 详细信息
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An Efficient Quality Inspection of Food Products Using Neural Network Classification
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JOURNAL OF INTELLIGENT SYSTEMS 2020年 第1期29卷 1425-1440页
作者: Ali, Syed Sumera Ershad Dildar, Sayyad Ajij Dr Babasaheb Ambedkar Marathwada Univ Chhatrapati Shahu Maharaj Shikshan Sanstha Chh Shahu Coll Engn Dept Elect & Telecommun Engn Aurangabad Maharashtra India MIT Coll Engn Dept Elect & Telecommun Engn Aurangabad Maharashtra India
Currently, there is a necessity for the expansion of precise, rapid, and intentional quality assurance with respect to the character of food and horticultural food items, because it is difficult to maintain and organi... 详细信息
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Statistical and evolutionary optimisation of operating conditions for enhanced production of fungal L-asparaginase
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CHEMICAL PAPERS 2011年 第6期65卷 798-804页
作者: Baskar, Gurunathan Renganathan, Sahadevan Anna Univ Alagappa Coll Technol Dept Chem Engn Madras 600025 Tamil Nadu India St Josephs Coll Engn Dept Biotechnol Madras 600119 Tamil Nadu India
A three-level central composite design of the Response Surface Methodology and the Artificial Neural Network-linked Genetic algorithm were applied to find the optimum operating conditions for enhanced production of L-... 详细信息
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Prediction of processing parameters for injection moulding by using a hybrid neural network
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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2001年 第10期215卷 1465-1470页
作者: Yarlagadda, PKDV Queensland Univ Technol Fac Built Environm & Engn Sch Mech Mfg & Med Engn Brisbane Qld 4001 Australia
In the present work attempts have been made to determine the process parameters that could affect an injection moulding process based on governing equations of the mould-filling process. Focus is then directed to para... 详细信息
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Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil
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MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN 2021年 第4期4卷 259-274页
作者: Onyelowe, Kennedy C. Iqbal, Mudassir Jalal, Fazal E. Onyia, Michael E. Onuoha, Ifeanyichukwu C. Michael Okpara Univ Agr Dept Civil Engn Umudike Nigeria Kampala Int Univ Dept Civil & Mech Engn Kampala Uganda Shangai Jiao Tong Univ Sch Naval Architecture Ocean & Civil Engn Shanghai Key Lab Digital Maintenance Bldg & Infra Shanghai Peoples R China Shanghai Jiao Tong Univ Dept Civil Engn Shanghai Peoples R China Univ Nigeria Fac Engn Dept Civil Engn Nsukka Nigeria Fed Univ Technol Owerri Dept Environm Technol Owerri Nigeria
Artificial neural network (ANN) method has been applied in the present work to predict the California bearing ratio (CBR), unconfined compressive strength (UCS), and resistance value (R) of expansive soil treated with... 详细信息
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Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems
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ACM TRANSACTIONS ON CYBER-PHYSICAL SYSTEMS 2019年 第1期3卷 1–17页
作者: Zhang, Qingchen Yang, Laurence T. Chen, Zhikui Li, Peng Univ Elect Sci & Technol China Sch Informat & Commun Engn Beijing Peoples R China St Francis Xavier Univ Dept Comp Sci 18 Hillcrest St Antigonish NS B2G 1Z3 Canada St Francis Xavier Univ Dept Comp Sci 2323 Notre Dame Ave Antigonish NS B2G 2W5 Canada Dalian Univ Technol Sch Software Technol 321 Tuqing St Dalian 116620 Liaoning Peoples R China
With the ongoing development of sensor devices and network techniques, big data are being generated from the cyber-physical systems. Because of sensor equipment occasional failure and network transmission un-reliabili... 详细信息
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