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检索条件"主题词=Generalized Regression Neural Network"
339 条 记 录,以下是11-20 订阅
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Underwater Positioning Based on an Artificial Lateral Line and a generalized regression neural network
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Journal of Bionic Engineering 2018年 第5期15卷 883-893页
作者: Xiande Zheng Yong Zhang Mingjiang Ji Ying Liu Xin Lin Jing Qiu Guanjun Liu Science and Technology on Integrated Logistics Support Laboratory National University of Defense Technology Changsha 410073 China College of Intelligence Science National University of Defense Technology Changsha 410073 China
Taking advantage of the lateral line organ, fish can navigate, feed, and avoid predators and obstacles by sensing surrounding flow fields. The lateral line organ provides an important reference for the development of ... 详细信息
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Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data
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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2017年 136卷 71-78页
作者: Feng, Yu Peng, Yong Cui, Ningbo Gong, Daozhi Zhang, Kuandi Sichuan Univ State Key Lab Hydraul & Mt River Engn Chengdu Peoples R China Sichuan Univ Coll Water Resource & Hydropower Chengdu 610065 Peoples R China Chinese Acad Agr Sci Inst Environm & Sustainable Dev Agr State Engn Lab Efficient Water Use Crops & Disast MOA Key Lab Dryland Agr Beijing Peoples R China Northwest A&F Univ Coll Water Resources & Architectural Engn Yangling Peoples R China
Accurate estimation of reference evapotranspiration (ET0) is essential to agricultural water management. The present study developed two artificial intelligence models for daily ET0 estimation only with temperature da... 详细信息
来源: 评论
A generalized regression neural network-based method for predicting cumulative infiltration volume in shallow slopes
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BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 2021年 第9期80卷 7269-7285页
作者: Li, S. H. Liu, G. G. Zhang, S. X. Chengdu Univ Technol State Key Lab Geohazard Prevent Protect Chengdu 610059 Sichuan Peoples R China
Developing a method for quickly estimating the cumulative infiltration in shallow slopes is essential for engineers to evaluate slope stability. In this paper, the hydraulic parameters of the Yan'an loess in China... 详细信息
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Road accident risk prediction using generalized regression neural network optimized with self-organizing map
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neural COMPUTING & APPLICATIONS 2022年 第11期34卷 8511-8524页
作者: Kaffash Charandabi, Neda Gholami, Amir Abdollahzadeh Bina, Ali Univ Tabriz Marand Tech Fac Dept Geomat Tabriz Iran
A road accident risk map that is designed to locate high-risk areas is an efficient way to reduce road traffic injuries and fatalities. To produce an accurate road accident risk map, it is required to compute the prob... 详细信息
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Development and comparison of backpropagation and generalized regression neural network models to predict diurnal and seasonal gas and PM10 concentrations and emissions from swine buildings
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TRANSACTIONS OF THE ASABE 2008年 第2期51卷 685-694页
作者: Sun, G. Hoff, S. J. Zelle, B. C. Nelson, M. A. Iowa State Univ Dept Agr & Biosyst Engn Ames IA 50011 USA
The quantification of diurnal and seasonal gas (NH3, H2S, and CO2) and PM10 concentrations and emission rates (GPCER) from livestock production facilities is indispensable for the development of science-based setback ... 详细信息
来源: 评论
A combined generalized regression neural network wavelet model for monthly streamflow prediction
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KSCE JOURNAL OF CIVIL ENGINEERING 2011年 第8期15卷 1469-1479页
作者: Kisi, Ozgur Erciyes Univ Dept Civil Engn Fac Engn TR-38039 Kayseri Turkey
The ability of a combined model, Wavelet-generalized regression neural network (WGRNN), is investigated in the current study for the prediction of monthly streamflows. The WGRNN model is obtained by combining two meth... 详细信息
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generalized regression neural network Based Channel Identification and Compensation Using Scattered Pilot
Generalized Regression Neural Network Based Channel Identifi...
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作者: He, H. Brno University of Technology
In the high-speed mobile environment, channel state information (CSI) estimated at the beginning of the packet is quite different at the last part because the actual channel state changes with time. To overcome this p... 详细信息
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A generalized regression neural network and its application for leaf wetness prediction to forecast plant disease
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 1999年 第1期48卷 47-58页
作者: Chtioui, Y Panigrahi, S Francl, L N Dakota State Univ Dept Plant Pathol Fargo ND 58105 USA N Dakota State Univ Agr & Biosyst Engn Dept Fargo ND 58105 USA
The objective of this paper was the development of an optimal generalized regression neural network (GRNN) for leaf wetness prediction. The GRNN prediction results were compared to those obtained with the standard mul... 详细信息
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Short-term traffic forecasting based on principal component analysis and a generalized regression neural network for satellite networks
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The Journal of China Universities of Posts and Telecommunications 2018年 第1期25卷 15-28,36页
作者: Liu Ziluan Li Xin State Key Laboratory of Networking and Switching Beijing University of Posts and Telecommunications
With the rapid growth of satellite traffic, the ability to forecast traffic loads becomes vital for improving data transmission efficiency and resource management in satellite networks. To precisely forecast the short... 详细信息
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Mineral deposit grade assessment using a hybrid model of kriging and generalized regression neural network
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neural COMPUTING & APPLICATIONS 2022年 第13期34卷 10611-10627页
作者: Singh, Rahul K. Ray, D. Sarkar, B. C. Indian Sch Mines Indian Inst Technol Dept Appl Geol Dhanbad 826004 Bihar India Indian Sch Mines Automat Ctr Indian Inst Technol Dhanbad 826004 Bihar India
Artificial neural networks are powerful global approximators for mineral grade assessment. The techniques are capable of retaining nonlinearity and spatial heterogeneity of a feature variable and can even perform mode... 详细信息
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