Multilayer feedforward networks are universal approximators
Neural Networks
On the Problem of Local Minima in Backpropagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Consistency of multilayer perceptron regression estimators
Neural Networks
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
A Solution for the N-bit Parity Problem Using a Single Translated Multiplicative Neuron
Neural Processing Letters
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Application Artificial Bee Colony Algorithm (ABC) for Reconfiguring Distribution Network
ICCMS '10 Proceedings of the 2010 Second International Conference on Computer Modeling and Simulation - Volume 01
Neural Networks Initial Weights Optimisation
UKSIM '10 Proceedings of the 2010 12th International Conference on Computer Modelling and Simulation
Optimization design based on improved ant colony algorithm for PID parameters of BP neural network
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
A two-stage algorithm in evolutionary product unit neural networks for classification
Expert Systems with Applications: An International Journal
Swarms of Metaheuristic Agents: A Model for Collective intelligence
3PGCIC '10 Proceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
Multi-objective hybrid evolutionary algorithms for radial basis function neural network design
Knowledge-Based Systems
IEEE Transactions on Signal Processing
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
Global hybrid ant bee colony algorithm for training artificial neural networks
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
Bee colony optimization for scheduling independent tasks to identical processors
Journal of Heuristics
Prediction of Earthquake Magnitude by an Improved ABC-MLP
DESE '11 Proceedings of the 2011 Developments in E-systems Engineering
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The performance of Neural Networks NN depends on network structure, activation function and suitable weight values. For finding optimal weight values, freshly, computer scientists show the interest in the study of social insect's behavior learning algorithms. Chief among these are, Ant Colony Optimzation ACO, Artificial Bee Colony ABC algorithm, Hybrid Ant Bee Colony HABC algorithm and Global Artificial Bee Colony Algorithm train Multilayer Perceptron MLP. This paper investigates the new hybrid technique called Global Artificial Bee Colony-Levenberq-Marquardt GABC-LM algorithm. One of the crucial problems with the BP algorithm is that it can sometimes yield the networks with suboptimal weights because of the presence of many local optima in the solution space. To overcome GABC-LM algorithm used in this work to train MLP for the boolean function classification task, the performance of GABC-LM is benchmarked against MLP training with the typical LM, PSO, ABC and GABC. The experimental result shows that GABC-LM performs better than that standard BP, ABC, PSO and GABC for the classification task.