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
Construction of fuzzy systems using least-squares method and genetic algorithm
Fuzzy Sets and Systems - Theme: Modeling and control
Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
Fuzzy Sets and Systems
International Journal of Approximate Reasoning
The usage of soft-computing methodologies in interpreting capsule endoscopy
Engineering Applications of Artificial Intelligence
A two-stage method for MUAP classification based on EMG decomposition
Computers in Biology and Medicine
Generalized multiscale radial basis function networks
Neural Networks
Neuro-genetic non-invasive temperature estimation: Intensity and spatial prediction
Artificial Intelligence in Medicine
Increasing classification efficiency with multiple mirror classifiers
Expert Systems with Applications: An International Journal
Adaptive fuzzy wavelet network control design for nonlinear systems
Fuzzy Sets and Systems
Nonlinear system identification: From multiple-model networks to Gaussian processes
Engineering Applications of Artificial Intelligence
Neural network based detection of hard exudates in retinal images
Computer Methods and Programs in Biomedicine
Heuristic advances in identifying aftershocks in seismic sequences
Computers & Geosciences
Expert Systems with Applications: An International Journal
Incremental learning of dynamic fuzzy neural networks for accurate system modeling
Fuzzy Sets and Systems
CMAC-based neuro-fuzzy approach for complex system modeling
Neurocomputing
Solving a system of nonlinear integral equations by an RBF network
Computers & Mathematics with Applications
Environmental Modelling & Software
A fuzzy neural network with fuzzy impact grades
Neurocomputing
Application of a radial basis function artificial neural network to seismic data inversion
Computers & Geosciences
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
International Journal of Approximate Reasoning
Representation of functional data in neural networks
Neurocomputing
Advances in Engineering Software
A fast multi-output RBF neural network construction method
Neurocomputing
Automatic configuration of spectral dimensionality reduction methods
Pattern Recognition Letters
Genetically evolved radial basis function network based prediction of drill flank wear
Engineering Applications of Artificial Intelligence
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
Two-stage extreme learning machine for regression
Neurocomputing
Intelligent process modeling and optimization of die-sinking electric discharge machining
Applied Soft Computing
Signature authentication based on subpattern analysis
Applied Soft Computing
Expert Systems with Applications: An International Journal
Grey-box radial basis function modelling
Neurocomputing
Comparison of neural classifiers for vehicles gear estimation
Applied Soft Computing
Global models for patient-ventilator interactions in noninvasive ventilation with asynchronies
Computers in Biology and Medicine
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
Artificial Intelligence in Medicine
Computers in Biology and Medicine
A hybrid particle swarm optimization and its application in neural networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Degradation process prediction for rotational machinery based on hybrid intelligent model
Robotics and Computer-Integrated Manufacturing
Intelligent sensor system for discrimination of material type using neural networks
Applied Soft Computing
A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting
Engineering Applications of Artificial Intelligence
A global-local optimization approach to parameter estimation of RBF-type models
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Approximation properties of local bases assembled from neural network transfer functions
Mathematical and Computer Modelling: An International Journal
A robust method of thin plate spline and its application to DEM construction
Computers & Geosciences
Reformulating Learning Vector Quantization and Radial Basis Neural Networks
Fundamenta Informaticae
An adaptive classifier based on artificial immune network
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Density based grid clustering partition of the input space for RBF neural network
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Comparative evaluation of regression methods for 3d-2d image registration
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
A hierarchical procedure for the synthesis of ANFIS networks
Advances in Fuzzy Systems
Learning a context aware dictionary for sparse representation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Fixed budget quantized kernel least-mean-square algorithm
Signal Processing
An improved learning scheme for extracting t-s fuzzy rules from data samples
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Least-squares hermite radial basis functions implicits with adaptive sampling
Proceedings of Graphics Interface 2013
International Journal of Systems Biology and Biomedical Technologies
Fracture animation based on high-dimensional Voronoi diagrams
Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Computers and Industrial Engineering
Advances in Artificial Neural Systems
Neural Processing Letters
Biometric fusion by simulated annealing
International Journal of Knowledge-based and Intelligent Engineering Systems
Decision support systems in Wireless Capsule Endoscopy: Revisited
Intelligent Decision Technologies
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A new method for fuzzy rule base reduction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The radial basis function network offers a viable alternative to the two-layer neural network in many applications of signal processing. A common learning algorithm for radial basis function networks is based on first choosing randomly some data points as radial basis function centers and then using singular-value decomposition to solve for the weights of the network. Such a procedure has several drawbacks, and, in particular, an arbitrary selection of centers is clearly unsatisfactory. The authors propose an alternative learning procedure based on the orthogonal least-squares method. The procedure chooses radial basis function centers one by one in a rational way until an adequate network has been constructed. In the algorithm, each selected center maximizes the increment to the explained variance or energy of the desired output and does not suffer numerical ill-conditioning problems. The orthogonal least-squares learning strategy provides a simple and efficient means for fitting radial basis function networks. This is illustrated using examples taken from two different signal processing applications