Evolutive Identification of Fuzzy Systems for Time-Series Prediction
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Evolved RBF Networks for Time-Series Forecasting and Function Approximation
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
An Adaptive Learning Algorithm Aimed at Improving RBF Network Generalization Ability
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Classification with Synaptic Radial Basis Units
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
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
Ensemble of Evolving Neural Networks in Classification
Neural Processing Letters
Evolving RBF neural networks for time-series forecasting with EvRBF
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Evolutionary Radial Basis Functions for Credit Assessment
Applied Intelligence
Modeling systems with internal state using evolino
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
International Journal of Approximate Reasoning
Generalized multiscale radial basis function networks
Neural Networks
Hybridization of intelligent techniques and ARIMA models for time series prediction
Fuzzy Sets and Systems
EvRBF: evolving RBF neural networks for classification problems
AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7
LRBNN: A Lazy Radial Basis Neural Network model
AI Communications
Evolving neural networks for fractured domains
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
The Journal of Machine Learning Research
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Integrated Computer-Aided Engineering
Technical data mining with evolutionary radial basis function classifiers
Applied Soft Computing
AG-ART: An adaptive approach to evolving ART architectures
Neurocomputing
A Preliminar Analysis of CO2RBFN in Imbalanced Problems
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
CO$^2$RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
The antiquadrupolar phase of the biquadratic neural network
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Studying the capacity of grammatical encoding to generate FNN architectures
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
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
Evolutionary optimisation of RBF network architectures in a direct marketing application
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
An evolution of geometric structures algorithm for the automatic classification of HRR radar targets
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Evolving an automatic defect classification tool
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
A radial basis function redesigned for predicting a welding process
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Artificial Intelligence in Medicine
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Research on the protein secondary prediction using a symmetric binding form of organization
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Application of ANOVA to a cooperative-coevolutionary optimization of RBFNs
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Alternative OVA proposals for cooperative competitive RBFN design in classification tasks
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
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In a radial basis function (RBF) network, the RBF centers and widths can be evolved by a cooperative-competitive genetic algorithm. The set of genetic strings in one generation of the algorithm represents one REP network, not a population of competing networks. This leads to moderate computation times for the algorithm as a whole. Selection operates on individual RBFs rather than on whole networks. Selection therefore requires a genetic fitness function that promotes competition among RBFs which are doing nearly the same job while at the same time promoting cooperation among RBFs which cover different parts of the domain of the function to be approximated. Niche creation resulting from a fitness function of the form |wi|β/E(|wi'|β), 1<β<2 can facilitate the desired cooperative-competitive behavior. The feasibility of the resulting algorithm to evolve networks of Gaussian, inverse multiquadric, and thin-plate spline RBFs is demonstrated by predicting the Mackey-Glass time series. For each type of RBF, and for networks of 25, 50, 75, 100, 125, and 150 RBF units, prediction errors for the evolved Gaussian RBF networks are 50-70% lower than RBF networks obtained by k-means clustering