Handbook of Neural Network Signal Processing
Handbook of Neural Network Signal Processing
The use of a supervised k-means algorithm on real-valued data with applications in health
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Adaptive mixtures of local experts
Neural Computation
On diversity and accuracy of homogeneous and heterogeneous ensembles
International Journal of Hybrid Intelligent Systems
Variable step search algorithm for feedforward networks
Neurocomputing
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Genetic algorithms in classifier fusion
Applied Soft Computing
A weighted voting summarization of SOM ensembles
Data Mining and Knowledge Discovery
Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning
IEEE Transactions on Knowledge and Data Engineering
Evolutionary optimized forest of regression trees: application in metallurgy
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
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In this paper we compare different evolutionary algorithm approaches and parameters used to optimize the output of neural network committee trained on regression problems. This is especially useful for large and complex datasets. We used the methodology presented in this paper to optimize the output of the committee to predict the temperature in the electric arc furnace in one of the steelworks.