Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
The cascade-correlation learning architecture
Advances in neural information processing systems 2
Rule induction with CN2: some recent improvements
EWSL-91 Proceedings of the European working session on learning on Machine learning
A practical Bayesian framework for backpropagation networks
Neural Computation
Simplifying neural networks by soft weight-sharing
Neural Computation
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
Bayesian regularization and pruning using a Laplace prior
Neural Computation
Machine Learning
Machine Learning
Regularization with a pruning prior
Neural Networks
The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
Boosted mixture of experts: an ensemble learning scheme
Neural Computation
Combining predictors: comparison of five meta machine learning methods
Information Sciences: an International Journal
Ensemble learning via negative correlation
Neural Networks
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Randomizing Outputs to Increase Prediction Accuracy
Machine Learning
Statistical Analysis: A Computer Oriented Approach
Statistical Analysis: A Computer Oriented Approach
Using Correspondence Analysis to Combine Classifiers
Machine Learning
Combining Classifiers with Meta Decision Trees
Machine Learning
Evolving neural networks through augmenting topologies
Evolutionary Computation
On the Learnability and Design of Output Codes for Multiclass Problems
COLT '00 Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
Symbiotic Evolution of Neural Networks in Sequential Decision Tasks
Symbiotic Evolution of Neural Networks in Sequential Decision Tasks
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Evolving modular genetic regulatory networks
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Learn++: an incremental learning algorithm for supervised neuralnetworks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Cooperative coevolution of artificial neural network ensembles for pattern classification
IEEE Transactions on Evolutionary Computation
A review of Bayesian neural networks with an application to near infrared spectroscopy
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Constructive neural-network learning algorithms for pattern classification
IEEE Transactions on Neural Networks
Self-organizing network for optimum supervised learning
IEEE Transactions on Neural Networks
COVNET: a cooperative coevolutionary model for evolving artificial neural networks
IEEE Transactions on Neural Networks
A constructive algorithm for training cooperative neural network ensembles
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Efficient classification for multiclass problems using modular neural networks
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
Constructive neural networks to predict breast cancer outcome by using gene expression profiles
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Class imbalance methods for translation initiation site recognition in DNA sequences
Knowledge-Based Systems
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Engineering Applications of Artificial Intelligence
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In this paper, we propose a new constructive method, based on cooperative coevolution, for designing automatically the structure of a neural network for classification. Our approach is based on a modular construction of the neural network by means of a cooperative evolutionary process. This process benefits from the advantages of coevolutionary computation as well as the advantages of constructive methods. The proposed methodology can be easily extended to work with almost any kind of classifier. The evaluation of each module that constitutes the network is made using a multiobjective method. So, each new module can be evaluated in a comprehensive way, considering different aspects, such as performance, complexity, or degree of cooperation with the previous modules of the network. In this way, the method has the advantage of considering not only the performance of the networks, but also other features. The method is tested on 40 classification problems from the UCI machine learning repository with very good performance. The method is thoroughly compared with two other constructive methods, cascade correlation and GMDH networks, and other classification methods, namely, SVM, C4.5, and k nearest-neighbours, and an ensemble of neural networks constructed using four different methods.