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Advances in Intelligent Systems and Computing, ISSN 2194-5357, 2018, Volume 564, pp. 491 - 499
Conference Proceeding
Renewable Energy, ISSN 0960-1481, 01/2020, Volume 145, pp. 308 - 317
A study was conducted for fuel characterization of a stable nano-oxide added water emulsified biodiesel blend (NWEB) prepared with optimal emulsifying... 
Separation | RBFNN | Cerium oxide | Biodiesel | FTIR | Fuel properties | Neural networks | Mathematical optimization | Biodiesel fuels
Journal Article
Information Sciences, ISSN 0020-0255, 02/2018, Volume 428, pp. 62 - 75
The Radial Basis Function Neural Network (RBFNN) model is one of the most popular Feedforward Neural Network architectures. Calculating the proper RBF centers... 
RBFNN | Center selection | Eigenvectors | NEURAL-NETWORKS | APPROXIMATION | ALGORITHM | COMPUTER SCIENCE, INFORMATION SYSTEMS | Neural networks | Analysis | Algorithms
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 6/2019, pp. 1 - 13
In this paper, a novel data-driven predictive iterative learning control (DDPILC) scheme based on a radial basis function neural network (RBFNN) is proposed... 
dynamic linearization | nonrepetitive disturbances | radial basis function neural network (RBFNN) | iterative learning control (ILC) | Data-driven control
Journal Article
Advances in Intelligent Systems and Computing, ISSN 2194-5357, 2018, Volume 705, pp. 103 - 112
Conference Proceeding
International Journal on Smart Sensing and Intelligent Systems, ISSN 1178-5608, 2017, Volume 10, Issue 2, pp. 308 - 326
Journal Article
Journal Article
Research Journal of Applied Sciences, Engineering and Technology, ISSN 2040-7459, 2014, Volume 8, Issue 4, pp. 541 - 547
Journal Article
Transactions of the Korean Institute of Electrical Engineers, ISSN 1975-8359, 06/2016, Volume 65, Issue 6, pp. 1060 - 1069
Journal Article
Neurocomputing, ISSN 0925-2312, 02/2016, Volume 177, pp. 158 - 167
This paper investigates the path following control problem for an unmanned marine surface vessel (MSV) in the presence of uncertainties and input saturation.... 
Backstepping | Input saturation | Robust RBFNN | Path following | Integral LOS | Marine surface vessel | DESIGN | ADAPTIVE TRACKING CONTROL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | UNDERACTUATED AUVS | VEHICLES | SYSTEMS | WAY-POINT TRACKING | Electrical engineering | Neural networks | Analysis
Journal Article
International Journal of Electrical and Computer Engineering, ISSN 2088-8708, 08/2015, Volume 5, Issue 4, pp. 765 - 771
Journal Article
Telkomnika (Telecommunication Computing Electronics and Control), ISSN 1693-6930, 06/2016, Volume 14, Issue 2, pp. 699 - 706
Journal Article
Neurocomputing, ISSN 0925-2312, 2012, Volume 78, Issue 1, pp. 133 - 138
The amounts and types of remote sensing data have increased rapidly, and the classification of these datasets has become more and more overwhelming for a... 
Rotation Forest | RBFNN | Hybrid algorithm | DECORATE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks | Remote sensing | Algorithms | Classifiers | Interpolation | Construction | Forests | Classification
Journal Article
International Journal of Advanced Robotic Systems, ISSN 1729-8806, 1/2016, Volume 13, Issue 1, p. 8
A sliding mode control method based on radial basis function (RBF) neural network is proposed for the deburring of industry robotic systems. First, a dynamic... 
Deburring Robotic Control | Radial Basis Function Neural Network (RBFNN) | Sliding Mode Control (SMC) | Radial Basis Function Neural Network Sliding Mode Control (RBFNN-SMC) | ROBOTICS | FORCE | DYNAMICS | MANIPULATORS
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 09/2019, Volume 82, p. 105541
The conversion functions in the hidden layer of radial basis function neural networks (RBFNN) are Gaussian functions. The Gaussian functions are local to the... 
Multi-scale kernel learning | Bayes rule | RBFNN | Multi-layer kernel subspace embedding | DESIGN | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CLASSIFICATION | EIGENFACES | OPTIMIZATION | AID | CENTERS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
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