Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Methods for combining experts' probability assessments
Neural Computation
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Niching methods for genetic algorithms
Niching methods for genetic algorithms
Bias/variance analyses of mixtures-of-experts architectures
Neural Computation
Information theory
Ensemble learning via negative correlation
Neural Networks
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Towards Designing Neural Network Ensembles by Evolution
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Learning and Evolution by Minimization of Mutual Information
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Maintaining Population Diversity By Minimizing Mutual Information
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Speciation as automatic categorical modularization
IEEE Transactions on Evolutionary Computation
Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation
Simultaneous training of negatively correlated neural networks inan ensemble
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
MASSP3: a system for predicting protein secondary structure
EURASIP Journal on Applied Signal Processing
Entropy and mutual information can improve fitness evaluation in coevolution of neural networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Classification by evolutionary generalised radial basis functions
International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Parameter genetic learning of perceptron networks
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Image recognition using synergetic neural network
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Discrimination learning guided by instinct
International Journal of Hybrid Intelligent Systems
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Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with neural networks in recent years. This paper presents a hybrid learning system for learning and designing of neural network ensembles based on negative correlation learning and evolutionary learning. The idea of the hybrid learning system is to regard the population of neural networks as an ensemble, and the evolutionary process as the design of neural network ensembles. Two fitness sharing techniques have been used in the evolutionary process. One is based on the covering set. The other is to use the concept of mutual information. The effectiveness of such hybrid learning approach was tested on two real-world problems.