Globally Optimal Fuzzy Decision Trees for Classification and Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks
Neural Processing Letters
Accelerating the Convergence of EM-Based Training Algorithms for RBF 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 new EM-based training algorithm for RBF networks
Neural Networks
Encoding Neural Networks to Compute the Atmospheric Point Spread Function
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Evolving two-dimensional fuzzy systems
Fuzzy Sets and Systems - Theme: Learning and modeling
Assessing the Noise Immunity and Generalization of Radial Basis Function Networks
Neural Processing Letters
On the Generalization Ability of GRLVQ Networks
Neural Processing Letters
Evolutionary product unit based neural networks for regression
Neural Networks
International Journal of Approximate Reasoning
Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Automatic tuning of complex fuzzy systems with Xfuzzy
Fuzzy Sets and Systems
An adaptive neuro-fuzzy system for efficient implementations
Information Sciences: an International Journal
Improving the generalization performance of RBF neural networks using a linear regression technique
Expert Systems with Applications: An International Journal
Brief paper: Adaptive hinging hyperplanes and its applications in dynamic system identification
Automatica (Journal of IFAC)
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
Fuzzy Sets and Systems
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
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
A neural network of smooth hinge functions
IEEE Transactions on Neural Networks
Electricity load forecasting using self organizing maps
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Perspectives of self-adapted self-organizing clustering in organic computing
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
A novel self-organizing fuzzy polynomial neural networks with evolutionary FPNs: design and analysis
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Analysis of the TaSe-II TSK-Type fuzzy system for function approximation
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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
Genetically dynamic optimization based fuzzy polynomial neural networks
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
A new SOM algorithm for electricity load forecasting
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons
Information Sciences: an International Journal
FSPN-Based genetically optimized fuzzy polynomial neural networks
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Fuzzy linear regression based on Polynomial Neural Networks
Expert Systems with Applications: An International Journal
Fuzzy relation-based polynomial neural networks based on hybrid optimization
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Training neural network with zero weight initialization
Proceedings of the CUBE International Information Technology Conference
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The problem of estimating an unknown function from a finite number of noisy data points has fundamental importance for many applications. This problem has been studied in statistics, applied mathematics, engineering, artificial intelligence, and, more recently, in the fields of artificial neural networks, fuzzy systems, and genetic optimization. In spite of many papers describing individual methods, very little is known about the comparative predictive (generalization) performance of various methods. We discuss subjective and objective factors contributing to the difficult problem of meaningful comparisons. We also describe a pragmatic framework for comparisons between various methods, and present a detailed comparison study comprising several thousand individual experiments. Our approach to comparisons is biased toward general (nonexpert) users. Our study uses six representative methods described using a common taxonomy. Comparisons performed on artificial data sets provide some insights on applicability of various methods. No single method proved to be the best, since a method's performance depends significantly on the type of the target function, and on the properties of training data