Machine Learning - Special issue on learning with probabilistic representations
Reliable classification using neural networks: a genetic algorithm and backpropagation comparison
Decision Support Systems
Swarm intelligence
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks
Neural Processing Letters
Particle Swarm Optimization of Neural Network Architectures andWeights
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
New Neural Network Based on Ant Colony Algorithm for Financial Data Forecasting
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Evolutionary Neural Network Based on New Ant Colony Algorithm
ISCID '08 Proceedings of the 2008 International Symposium on Computational Intelligence and Design - Volume 01
Training feedforward neural networks using genetic algorithms
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
An adaptive dynamic evolution feedforward neural network on modified particle swarm optimization
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Reinforcement learning using swarm intelligence-trained neural networks
Journal of Experimental & Theoretical Artificial Intelligence
Hybrid training of feed-forward neural networks with particle swarm optimization
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Evolving neural networks using the hybrid of ant colony optimization and BP algorithms
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Evolving feed-forward neural networks through evolutionary mutation parameters
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
International Journal of Hybrid Intelligent Systems
Discrimination learning guided by instinct
International Journal of Hybrid Intelligent Systems
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In this paper, we present a bio-inspired learning methodology based on swarm particle optimization to learn both weights and topology of a multilayer feedforward neural network. The training algorithm represents a novel adaptive version of the particle swarm algorithm where the inertia weight is improved to increase the accuracy of the neural network. In addition to the updated exploration parameter, the proposed algorithm encloses a new acceleration parameter to deal with the convergence rate. In fact, the adopted optimization strategy aims to simulate a mutation rate with higher values in the favor of a global search. The swarm-based feedforward neural network was tested with benchmarking problems which includes both classification and regression problems. Some results are also presented to evaluate the algorithm performances.