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  • Search: subject:"radial basis function neural networks"
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Year of publication
Subject
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Neural networks 3 Forecasting model 2 Neuronale Netze 2 Prognoseverfahren 2 Radial basis function neural networks 2 Theorie 2 Theory 2 Time series analysis 2 Zeitreihenanalyse 2 Adaptive robust control 1 Artificial intelligence 1 Classification 1 Cluster analysis 1 Clusteranalyse 1 Computerized method 1 Computerunterstützung 1 Control technology 1 Crawler‐type mobile manipulators 1 Data Mining 1 Data mining 1 Ehrenamtliche Arbeit 1 Hauptkomponentenanalyse 1 Klassifikation 1 Künstliche Intelligenz 1 Outlier detection 1 Principal component analysis 1 System management controller 1 Systems and control theory 1 Teaching-learning-based optimization 1 Uncertainties 1 Voluntary work 1 Web-based programming 1 Winsorizing 1 evolutionary computation 1 fintech 1 radial basis function neural networks 1 time-series forecasting 1 volunteer computation 1
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Online availability
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Undetermined 2 CC license 1 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 research-article 1
Language
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English 3
Author
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Arenas, M. G. 1 Behera, Ajit Kumar 1 Dash, Ch. Sanjeev Kumar 1 Dehuri, Satchidananda 1 García-Fernández, P. 1 Ghosh, Ashish 1 Merelo Guervós, Juan Julián 1 Parras-Gutiérrez, E. 1 Rivas, V. M. 1 Wang, Yaonan 1 Wu, Xiru 1
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Published in...
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Decision analytics journal 1 Industrial Robot: An International Journal 1 Intelligent systems in accounting finance and management : international journal 1
Source
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ECONIS (ZBW) 2 Other ZBW resources 1
Showing 1 - 3 of 3
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An outliers detection and elimination framework in classification task of data mining
Dash, Ch. Sanjeev Kumar; Behera, Ajit Kumar; Dehuri, … - In: Decision analytics journal 6 (2023), pp. 1-8
An outlier is a datum that is far from other data points in which it occurs. It can have a considerable impact on the output. Therefore, removing or resolving it before the analysis is essential to prevent skewing. Outliers in a survey sampling can have a significant outcome on statistical...
Persistent link: https://www.econbiz.de/10014505859
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Time series forecasting using evolutionary neural nets implemented in a volunteer computing system
Rivas, V. M.; Parras-Gutiérrez, E.; Merelo Guervós, … - In: Intelligent systems in accounting finance and … 24 (2017) 2/3, pp. 87-95
Persistent link: https://www.econbiz.de/10011825071
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Neural networks‐based adaptive robust control of crawler‐type mobile manipulators using sliding mode approach
Wang, Yaonan; Wu, Xiru - In: Industrial Robot: An International Journal 39 (2012) 3, pp. 260-270
Purpose – The purpose of this paper is to present the radial basis function (RBF) networks‐based adaptive robust control for an omni‐directional wheeled mobile manipulator in the presence of uncertainties and disturbances. Design/methodology/approach – First, a dynamic model is obtained...
Persistent link: https://www.econbiz.de/10014832146
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