rbf networks Latest Research Papers

Performance Analysis and Prediction of Students Results Using RBF Networks

10.1109/icosec51865.2021.9591964 ◽

2021 ◽

Author(s):

R. Sujee ◽

S. Padmavathi

Keyword(s):

Performance Analysis ◽

Rbf Networks

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Train RBF networks with a hybrid genetic algorithm

Evolutionary Intelligence ◽

10.1007/s12065-021-00654-2 ◽

2021 ◽

Author(s):

Ioannis G. Tsoulos ◽

Nikolaos Anastasopoulos ◽

Georgios Ntritsos ◽

Alexandros Tzallas

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Rbf Networks

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Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems

10.1109/smartcomp52413.2021.00028 ◽

2021 ◽

Author(s):

Matthew Burruss ◽

Shreyas Ramakrishna ◽

Abhishek Dubey

Keyword(s):

Anomaly Detection ◽

Cyber Physical Systems ◽

Rbf Networks ◽

Physical Systems

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Efficient Design of Multicolumn RBF Networks

Neurocomputing ◽

10.1016/j.neucom.2021.04.040 ◽

2021 ◽

Author(s):

Ziyang Han ◽

Xusheng Qian ◽

He Huang ◽

Tingwen Huang

Keyword(s):

Efficient Design ◽

Rbf Networks

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Extreme learning machine – radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine

Journal of Industrial and Production Engineering ◽

10.1080/21681015.2021.1887948 ◽

2021 ◽

pp. 1-9

Author(s):

Arian Dhini ◽

Isti Surjandari ◽

Benyamin Kusumoputro ◽

Andrew Kusiak

Keyword(s):

Radial Basis Function ◽

Steam Turbine ◽

Extreme Learning Machine ◽

Basis Function ◽

Rbf Networks ◽

Radial Basis ◽

Learning Machine

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Applications of BP, Convolutional and RBF Networks

2021 2nd International Conference on Computing and Data Science (CDS) ◽

10.1109/cds52072.2021.00099 ◽

2021 ◽

Author(s):

Zebu Lan

Keyword(s):

Rbf Networks

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DEVELOPMENT OF AN ACTIVE POWER FILTER BASED ON SLIDING MODE CONTROL AND RBF NETWORKS

Mechatronic Systems and Control (formerly Control and Intelligent Systems) ◽

10.2316/j.2021.201-0238 ◽

2021 ◽

Vol 49 (0) ◽

Author(s):

Huiyue Zhang ◽

Ming Li ◽

Ying Wang

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

Active Power Filter ◽

Active Power ◽

Rbf Networks ◽

Power Filter ◽

Mode Control

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COMPARISON OF MLP AND RBF NETWORKS FOR PREDICTION OF RAINFALL FOR PUNE AND MAHABALESHWAR REGIONS

i-manager’s Journal on Future Engineering and Technology ◽

10.26634/jfet.16.3.17740 ◽

2021 ◽

Vol 16 (3) ◽

pp. 8

Author(s):

N. VIVEKANANDAN ◽

Keyword(s):

Rbf Networks

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Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes

Journal of Process Control ◽

10.1016/j.jprocont.2020.07.009 ◽

2020 ◽

Vol 93 ◽

pp. 53-65

Author(s):

Tong Liu ◽

Sheng Chen ◽

Shan Liang ◽

Dajun Du ◽

Chris J. Harris

Keyword(s):

Dynamic Processes ◽

Rbf Networks ◽

Online Modeling

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The Solution of Approximation Problems on RBF Networks Learned by The Levenberg Marquardt Method

2020 International Russian Automation Conference (RusAutoCon) ◽

10.1109/rusautocon49822.2020.9208162 ◽

2020 ◽

Author(s):

Mohie M. Alqezweeni ◽

Vladimir Gorbachenko

Keyword(s):

Rbf Networks ◽

Marquardt Method ◽

Levenberg Marquardt ◽

Approximation Problems

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rbf networks
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Performance Analysis and Prediction of Students Results Using RBF Networks

Train RBF networks with a hybrid genetic algorithm

Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems

Efficient Design of Multicolumn RBF Networks

Extreme learning machine – radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine

Applications of BP, Convolutional and RBF Networks

DEVELOPMENT OF AN ACTIVE POWER FILTER BASED ON SLIDING MODE CONTROL AND RBF NETWORKS

COMPARISON OF MLP AND RBF NETWORKS FOR PREDICTION OF RAINFALL FOR PUNE AND MAHABALESHWAR REGIONS

Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes

The Solution of Approximation Problems on RBF Networks Learned by The Levenberg Marquardt Method

Export Citation Format

rbf networksRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Performance Analysis and Prediction of Students Results Using RBF Networks

Train RBF networks with a hybrid genetic algorithm

Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems

Efficient Design of Multicolumn RBF Networks

Extreme learning machine – radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine

Applications of BP, Convolutional and RBF Networks

DEVELOPMENT OF AN ACTIVE POWER FILTER BASED ON SLIDING MODE CONTROL AND RBF NETWORKS

COMPARISON OF MLP AND RBF NETWORKS FOR PREDICTION OF RAINFALL FOR PUNE AND MAHABALESHWAR REGIONS

Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes

The Solution of Approximation Problems on RBF Networks Learned by The Levenberg Marquardt Method

rbf networks
Recently Published Documents