Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
Optimizing neural networks on SIMD parallel computers
Parallel Computing
The speciating island model: an alternative parallel evolutionary algorithm
Journal of Parallel and Distributed Computing - Special issue on parallel bioinspired algorithms
Flexible neural trees ensemble for stock index modeling
Neurocomputing
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
Future Generation Computer Systems
Hybrid flexible neural-tree-based intrusion detection systems: Research Articles
International Journal of Intelligent Systems
Particle swarm optimisation with spatial particle extension
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
ICA Based on KPCA and Hybrid Flexible Neural Tree to Face Recognition
CISIM '07 Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications
Probabilistic incremental program evolution
Evolutionary Computation
International Journal of Approximate Reasoning
Modeling of Cement Decomposing Furnace Production Process Based on Flexible Neural Tree
ICIII '08 Proceedings of the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 03
Intelligent visual recognition and classification of cork tiles with neural networks
IEEE Transactions on Neural Networks
Time-series forecasting using flexible neural tree model
Information Sciences: an International Journal
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Neural networks for classification: a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Parallel nonlinear optimization techniques for training neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
High-speed face recognition based on discrete cosine transform and RBF neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Prediction of dental milling time-error by flexible neural trees and fuzzy rules
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Swarm optimization and Flexible Neural Tree for microarray data classification
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
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In the past few decades, much success has been achieved in the use of artificial neural networks for classification, recognition, approximation and control. Flexible neural tree (FNT) is a special kind of artificial neural network with flexible tree structures. The most distinctive feature of FNT is its flexible tree structures. This makes it possible for FNT to obtain near-optimal network structures using tree structure optimization algorithms. But the modeling efficiency of FNT is always a problem due to its two-stage optimization. This paper designed a parallel evolving algorithm for FNT (PE-FNT). This algorithm uses PIPE algorithm to optimize tree structures and PSO algorithm to optimize parameters. The evaluation processes of tree structure populations and parameter populations were both parallelized. As an implementation of PE-FNT algorithm, two parallel programs were developed using MPI. A small data set, two medium data sets and three large data sets were applied for the performance evaluations of these programs. Experimental results show that PE-FNT algorithm is an effective parallel FNT algorithm especially for large data sets.