Journal of Global Optimization
Letters: Fully complex extreme learning machine
Neurocomputing
IEEE Transactions on Information Theory
An Improved On-Line Sequential Learning Algorithm for Extreme Learning Machine
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Sales forecasting using extreme learning machine with applications in fashion retailing
Decision Support Systems
Evolutionary product-unit neural networks classifiers
Neurocomputing
No-reference image quality assessment using modified extreme learning machine classifier
Applied Soft Computing
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems
Computers and Operations Research
Online training for single hidden-layer Online training for single hidden-layer
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Engineering Applications of Artificial Intelligence
A Group Selection Evolutionary Extreme Learning Machine approach for Time-Variant Neural Networks
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine
Neural Processing Letters
Patient Outcome Prediction with Heart Rate Variability and Vital Signs
Journal of Signal Processing Systems
Essential rate for approximation by spherical neural networks
Neural Networks
On the performance of the µ-GA extreme learning machines in regression problems
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
A hybrid evolutionary approach to obtain better quality classifiers
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Hybrid artificial neural networks: models, algorithms and data
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
Neural Processing Letters
Weighted principal component extraction with genetic algorithms
Applied Soft Computing
Evolutionary extreme learning machine – based on particle swarm optimization
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A gradient-based ELM algorithm in regressing multi-variable functions
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Efficient and effective algorithms for training single-hidden-layer neural networks
Pattern Recognition Letters
Evolutionary learning using a sensitivity-accuracy approach for classification
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
A global-local optimization approach to parameter estimation of RBF-type models
Information Sciences: an International Journal
An improved extreme learning machine based on particle swarm optimization
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Hybrid soft computing systems for reservoir PVT properties prediction
Computers & Geosciences
A new automatic target recognition system based on wavelet extreme learning machine
Expert Systems with Applications: An International Journal
Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs
Knowledge-Based Systems
A modified artificial fish swarm algorithm for the optimization of extreme learning machines
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Displacement prediction model of landslide based on ensemble of extreme learning machine
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Evolving artificial neural networks for nonlinear feature construction
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A multi-objective micro genetic ELM algorithm
Neurocomputing
Flexible job shop scheduling using hybrid differential evolution algorithms
Computers and Industrial Engineering
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis
Neural Processing Letters
A study on the randomness reduction effect of extreme learning machine with ridge regression
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Genetic ensemble of extreme learning machine
Neurocomputing
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Extreme learning machine (ELM) [G.-B. Huang, Q.-Y. Zhu, C.-K. Siew, Extreme learning machine: a new learning scheme of feedforward neural networks, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, 25-29 July 2004], a novel learning algorithm much faster than the traditional gradient-based learning algorithms, was proposed recently for single-hidden-layer feedforward neural networks (SLFNs). However, ELM may need higher number of hidden neurons due to the random determination of the input weights and hidden biases. In this paper, a hybrid learning algorithm is proposed which uses the differential evolutionary algorithm to select the input weights and Moore-Penrose (MP) generalized inverse to analytically determine the output weights. Experimental results show that this approach is able to achieve good generalization performance with much more compact networks.