Radial basis functions for multivariable interpolation: a review
Algorithms for approximation
Oriented non-radial basis functions for image coding and analysis
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Fast learning in networks of locally-tuned processing units
Neural Computation
A Fast Modified CORDIC—Implementation of Radial Basis Neural Networks
Journal of VLSI Signal Processing Systems
Initializing RBF-networks with small subsets of training examples
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Computerised Auto-Scoring System Based Upon Feature Extraction and Neural Network Technologies
Journal of Intelligent and Robotic Systems
On the Generalization Ability of Neural Network Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network Based Classifers for a Vast Amount of Data
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Support Vector Machines with Clustering for Training with Very Large Datasets
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
A genetic-designed beta basis function neural network for multi-variable functions approximation
Systems Analysis Modelling Simulation - Special issue: Advances in control and computer engineering
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
On the Kernel Widths in Radial-Basis Function Networks
Neural Processing Letters
Radial basis function classifier for fault diagnostics
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
Systems Analysis Modelling Simulation - Special issue: Intelligent systems, models and databases for environmental research
Evolutionary Radial Basis Functions for Credit Assessment
Applied Intelligence
A differential evolution based incremental training method for RBF networks
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An intelligent web-page classifier with fair feature-subset selection
Engineering Applications of Artificial Intelligence
RBF-based neurodynamic nearest neighbor classification in real pattern space
Pattern Recognition
Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Robust fuzzy relational classifier incorporating the soft class labels
Pattern Recognition Letters
Generalized multiscale radial basis function networks
Neural Networks
Designing evolving user profile in e-CRM with dynamic clustering of Web documents
Data & Knowledge Engineering
Mobile robot navigation and obstacle avoidance using fuzzy radial basis function neural networks
ESPOCO'05 Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control
Improving behavioral based job assignment by using radial basis function network
ISTASC'06 Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation
Two novel feature selection approaches for web page classification
Expert Systems with Applications: An International Journal
A simultaneous learning framework for clustering and classification
Pattern Recognition
Visual RBF network design based on Star Coordinates
Advances in Engineering Software
An Empirical Comparison of Training Algorithms for Radial Basis Functions
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Radial Basis Function network learning using localized generalization error bound
Information Sciences: an International Journal
Cascaded and hierarchical neural networks for classifying surface images of marble slabs
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
A novel dynamic fusion method using localized generalization error model
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Online adaptive radial basis function networks for robust object tracking
Computer Vision and Image Understanding
Fast and efficient training of RBF networks
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Radial basis function neural network based on order statistics
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Median M-type radial basis function neural network
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Sparse RBF Networks with Multi-kernels
Neural Processing Letters
Growing RBF networks for function approximation by a DE-Based method
CIS'04 Proceedings of the First international conference on Computational and Information Science
Adaptive point-cloud surface interpretation
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Minimal RBF networks by gaussian mixture model
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Multi-branch neural networks and its application to stock price prediction
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Approximate b-spline surface based on RBF neural networks
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Dynamic fusion method using Localized Generalization Error Model
Information Sciences: an International Journal
Estimating reference evapotranspiration for irrigation management in the texas high plains
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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An approach for the implementation of the Radial Basis Function (RBF) technique is presented and applied to a network of the appropriate architecture. The paper explores a methodology for selecting kernel function parameters and the extent to which the number of RBF nodes can be reduced without significantly affecting the overall training error. These objectives are accomplished through algorithms that shall be described in detail. Emphasis is also placed on the problems faced by a technique that has been proved superior to the more traditional training algorithms, particularly in terms of processing speed and solvability of nonlinear patterns. Solutions are consequently proposed in view of making RBF a more efficient method for interpolation and classification purposes.