Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm

Numerical solution of elliptic partial differential equation using radial basis function neural networks

Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03

An example-based approach to human body manipulation

Graphical Models

A differential evolution based incremental training method for RBF networks

GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation

An Integrated Data Preparation Scheme for Neural Network Data Analysis

IEEE Transactions on Knowledge and Data Engineering

Face and palmprint pixel level fusion and Kernel DCV-RBF classifier for small sample biometric recognition

Pattern Recognition

Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables

Neurocomputing

Efficient Training of RBF Networks Via the BYY Automated Model Selection Learning Algorithms

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks

Solving a system of nonlinear integral equations by an RBF network

Computers & Mathematics with Applications

A pilot sampling method for multi-layer perceptrons

ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers

Performance comparison of RBF networks and MLPs for classification

AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications

The relationship of sample size and accuracy in radial basis function networks

WSEAS Transactions on Computers

Sampling scheme for better RBF network

Proceedings of the 2009 International Conference on Hybrid Information Technology

An empirical improvement of the accuracy of RBF networks

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human

Empirical determination of sample sizes for multi-layer perceptrons by simple RBF networks

WSEAS Transactions on Computers

The effect of training set size for the performance of neural networks of classification

WSEAS Transactions on Computers

Property of artificial neural networks of classification with respect to training set size

ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II

Growing RBF networks for function approximation by a DE-Based method

CIS'04 Proceedings of the First international conference on Computational and Information Science

Agent-Based approach to RBF network training with floating centroids

ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II