Fuzzy pattern classification and the connectionist approach
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Experiments of Fast Learning with High Order Boltzmann Machines
Applied Intelligence
A cooperative constructive method for neural networks for pattern recognition
Pattern Recognition
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
Applied Soft Computing
Neural input selection-A fast model-based approach
Neurocomputing
Forecasting nonlinear time series with neural network sieve bootstrap
Computational Statistics & Data Analysis
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Computers and Electronics in Agriculture
Geometrical synthesis of MLP neural networks
Neurocomputing
A multi-objective approach to RBF network learning
Neurocomputing
Convergence of an online gradient algorithm with penalty for two-layer neural networks
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
A non-symbolic implementation of abdominal pain estimation in childhood
Information Sciences: an International Journal
Nonlinear system identification: From multiple-model networks to Gaussian processes
Engineering Applications of Artificial Intelligence
Evolutionary product-unit neural networks classifiers
Neurocomputing
Evolutionary Artificial Neural Network Design and Training for wood veneer classification
Engineering Applications of Artificial Intelligence
Feature selection via Boolean independent component analysis
Information Sciences: an International Journal
A prediction interval-based approach to determine optimal structures of neural network metamodels
Expert Systems with Applications: An International Journal
Improving weighted information criterion by using optimization
Journal of Computational and Applied Mathematics
A dynamic architecture for artificial neural networks
Neurocomputing
Output partitioning of neural networks
Neurocomputing
Computer Methods and Programs in Biomedicine
Expert Systems with Applications: An International Journal
A new hybrid ant colony optimization algorithm for feature selection
Expert Systems with Applications: An International Journal
Towards designing modular recurrent neural networks in learning protein secondary structures
Expert Systems with Applications: An International Journal
An evolved recurrent neural network and its application
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Engineering Applications of Artificial Intelligence
Relation Between VGA-classifier and MLP : Determination of Network Architecture
Fundamenta Informaticae
Simplifying convnets for fast learning
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Wavelet neural networks: A practical guide
Neural Networks
Information Sciences: an International Journal
Ontology alignment using artificial neural network for large-scale ontologies
International Journal of Metadata, Semantics and Ontologies
GAMLSS and neural networks in combat simulation metamodelling: A case study
Expert Systems with Applications: An International Journal
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Advances in Artificial Neural Systems
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A rule of thumb for obtaining good generalization in systems trained by examples is that one should use the smallest system that will fit the data. Unfortunately, it usually is not obvious what size is best; a system that is too small will not be able to learn the data while one that is just big enough may learn very slowly and be very sensitive to initial conditions and learning parameters. This paper is a survey of neural network pruning algorithms. The approach taken by the methods described here is to train a network that is larger than necessary and then remove the parts that are not needed