Automatic definition of modular neural networks
Adaptive Behavior
Boosting a weak learning algorithm by majority
Information and Computation
The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
Symbiotic evolution of neural networks in sequential decision tasks
Symbiotic evolution of neural networks in sequential decision tasks
Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
Evolutionary Learning of Modular Neural Networks withGenetic Programming
Applied Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ensemble Methods in Machine Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing)
Soft Computing - A Fusion of Foundations, Methodologies and Applications
New methods for competitive coevolution
Evolutionary Computation
Forming neural networks through efficient and adaptive coevolution
Evolutionary Computation
Adaptive mixtures of local experts
Neural Computation
Supervised projection approach for boosting classifiers
Pattern Recognition
Competitive coevolution through evolutionary complexification
Journal of Artificial Intelligence Research
Clustering-based hierarchical genetic algorithm for complex fitness landscapes
International Journal of Intelligent Systems Technologies and Applications
Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications
Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications
Evolutionary Design of Neural Network Architectures Using a Descriptive Encoding Language
IEEE Transactions on Evolutionary Computation
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
Divide-and-conquer learning and modular perceptron networks
IEEE Transactions on Neural Networks
COVNET: a cooperative coevolutionary model for evolving artificial neural networks
IEEE Transactions on Neural Networks
Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
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There has been a considerable effort in the design of evolutionary systems for the automatic generation of neural networks. Symbiotic Adaptive Neuro Evolution (SANE) is a novel approach that carries co-evolution of neural networks at two levels of neuron and network. The SANE network is likely to face problems when the applied data set has high number of attributes or a high dimensionality. In this paper we build a modular neural network with probabilistic sum integration technique to solve this curse of dimensionality. Each module is a SANE network. The division of the problem involves the breaking up of the problem into sub-problems with different (may be overlapping) attributes. The algorithm was simulated for the Breast Cancer database from UCI machine learning repository. Simulation results show that the algorithm, keeping the dimensionality low, was able to effectively solve the problem.