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  • Search: subject:"RBF neural network"
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Year of publication
Subject
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Neural networks 5 Neuronale Netze 5 Forecasting model 4 Prognoseverfahren 4 Theorie 4 Theory 4 RBF neural network 3 RBF Neural Network 2 Activation Function 1 Aktienindex 1 Aktienmarkt 1 Approximation 1 Artificial intelligence 1 BMMR 1 BSE Sensex 1 Backpropagation 1 Batch Size 1 Bayes-Statistik 1 Bayesian inference 1 Bayesian regularisation 1 Börsenkurs 1 China's energy demand 1 Coal 1 Coal price 1 Deep Neural Networks 1 Epoch 1 FLANN 1 Feed Forward Neural Network 1 Generalisation 1 Hidden Layer 1 Hotel industry 1 Hotellerie 1 Hyperparameters 1 Iteration 1 Kohle 1 Künstliche Intelligenz 1 MLANN 1 Mecanum wheel 1 Multi-Layer Perceptron 1 Mustererkennung 1
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Online availability
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Undetermined 5 Free 2
Type of publication
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Article 7 Book / Working Paper 1 Other 1
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 research-article 1
Language
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English 8 Undetermined 1
Author
All
Agarwal, Sonali 1 Cui, Yongjie 1 Dehghani, Hesam 1 Jodeiri Shokri, Behshad 1 Jun, Zhang 1 Khan, Jwaad Akhtar 1 Majhi, Babita 1 Murugesan, R. 1 Peng, Zhang 1 Rout, Minakhi 1 Sheelapriya, G. 1 Sohrabi, Parviz 1 Wang, Ke 1 Wei, Yi-Ming 1 Xiang, Ma 1 Yu, Shiwei 1 Zhong, Zhiming 1 Zijie, Niu 1
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Institution
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Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology 1
Published in...
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CEEP-BIT Working Papers 1 Industrial Robot: the international journal of robotics research and application 1 International journal of foresight and innovation policy : IJFIP 1 International journal of information systems in the service sector : IJISSS ; an official publication of the Information Resources Management Association 1 International journal of product development : IJPD 1 Mineral economics : raw materials report 1 Spanish journal of finance and accounting 1 Theoretical economics letters 1
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Source
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ECONIS (ZBW) 6 BASE 1 RePEc 1 Other ZBW resources 1
Showing 1 - 9 of 9
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Predicting coal price using time series methods and combination of radial basis function (RBF) neural network with time series
Sohrabi, Parviz; Jodeiri Shokri, Behshad; Dehghani, Hesam - In: Mineral economics : raw materials report 36 (2023) 2, pp. 207-216
Persistent link: https://www.econbiz.de/10014251397
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PID control of an omnidirectional mobile platform based on an RBF neural network controller
Zijie, Niu; Peng, Zhang; Cui, Yongjie; Jun, Zhang - In: Industrial Robot: the international journal of robotics … 49 (2021) 1, pp. 65-75
heading precision. A PID setting control algorithm based on an RBF neural network model is introduced. The algorithm is based …) neural network model is introduced. Design/methodology/approach In this study, the mechanism of omnidirectional motion using … neural network model is introduced. The algorithm is based on a kinematics model for an omnidirectional mobile platform and …
Persistent link: https://www.econbiz.de/10014835357
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Optimisation of data transmission delay of heart rate monitoring equipment in sports
Zhong, Zhiming - In: International journal of product development : IJPD 25 (2021) 2, pp. 175-186
Persistent link: https://www.econbiz.de/10012595809
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Research on quality evaluation of online reservation hotel APP based on a RBF neural network and support vector machine
Xiang, Ma - In: International journal of information systems in the … 12 (2020) 2, pp. 50-64
Persistent link: https://www.econbiz.de/10012294050
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Neural nets for stock indices : investigating effect of change in hyperparameters
Agarwal, Sonali; Khan, Jwaad Akhtar - In: Theoretical economics letters 9 (2019) 3, pp. 511-529
Persistent link: https://www.econbiz.de/10012395484
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Stock price trend prediction using Bayesian regularised radial basis function network model
Sheelapriya, G.; Murugesan, R. - In: Spanish journal of finance and accounting 46 (2017) 2/174, pp. 189-211
Persistent link: https://www.econbiz.de/10012128182
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China's primary energy demands in 2020: Predictions from an MPSO-RBF estimation model
Wei, Yi-Ming; Yu, Shiwei; Wang, Ke - Center for Energy and Environmental Policy Research … - 2011
In the present study, a Mix-encoding Particle Swarm Optimization and Radial Basis Function (MPSO-RBF) network-based energy demand forecasting model is proposed and appliedto forecast China's energy consumption until 2020. The energy demand isanalyzed for the period from 1980 to 2009 based on...
Persistent link: https://www.econbiz.de/10010897977
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Long-range prediction of retail sales using recurrent radial basis function neural network
Rout, Minakhi; Majhi, Babita - In: International journal of foresight and innovation … 10 (2015) 1, pp. 29-47
Persistent link: https://www.econbiz.de/10011524611
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Research on Short-term Load Forecasting of the Thermoelectric Boiler Based on a Dynamic RBF Neural Network
2006
forecast its short-term load according to running parameters. In this paper, dynamic radial basis function (RBF) neural network … is proposed based on the RBF neural network with the associated parameters of sample deviation and partial sample …
Persistent link: https://www.econbiz.de/10009465097
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