Approximation by fully complex multilayer perceptrons
Neural Computation
Complex backpropagation neural network using elementary transcendental activation functions
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Channel equalization using adaptive complex radial basis function networks
IEEE Journal on Selected Areas in Communications
Capabilities of a four-layered feedforward neural network: four layers versus three
IEEE Transactions on Neural Networks
Classification ability of single hidden layer feedforward neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Learning capability and storage capacity of two-hidden-layer feedforward networks
IEEE Transactions on Neural Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Letters: Convex incremental extreme learning machine
Neurocomputing
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
Error minimized extreme learning machine with growth of hidden nodes and incremental learning
IEEE Transactions on Neural Networks
A constructive enhancement for online sequential extreme learning machine
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Complex-valued function approximation using a fully complex-valued RBF (FC-RBF) learning algorithm
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Rapid and brief communication: Evolutionary extreme learning machine
Pattern Recognition
A division algebraic framework for multidimensional support vector regression
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Channel equalization using neural networks: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A supervised combination strategy for illumination chromaticity estimation
ACM Transactions on Applied Perception (TAP)
OP-KNN: method and applications
Advances in Artificial Neural Systems
Fast learning fully complex-valued classifiers for real-valued classification problems
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Fuzzy optimization for security sensors deployment in collaborative intrusion detection system
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Channel equalization using complex extreme learning machine with RBF kernels
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Information Sciences: an International Journal
Robust recursive complex extreme learning machine algorithm for finite numerical precision
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A new automatic target recognition system based on wavelet extreme learning machine
Expert Systems with Applications: An International Journal
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
A novel approach to protein structure prediction using PCA or LDA based extreme learning machines
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Using hybrid neural networks for identifying the brain abnormalities from MRI structural images
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
A novel machine learning approach for detecting the brain abnormalities from MRI structural images
PRIB'12 Proceedings of the 7th IAPR international conference on Pattern Recognition in Bioinformatics
Extreme learning machine: a robust modeling technique? yes!
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
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Recently, a new learning algorithm for the feedforward neural network named the extreme learning machine (ELM) which can give better performance than traditional tuning-based learning methods for feedforward neural networks in terms of generalization and learning speed has been proposed by Huang et al. In this paper, we first extend the ELM algorithm from the real domain to the complex domain, and then apply the fully complex extreme learning machine (C-ELM) for nonlinear channel equalization applications. The simulation results show that the ELM equalizer significantly outperforms other neural network equalizers such as the complex minimal resource allocation network (CMRAN), complex radial basis function (CRBF) network and complex backpropagation (CBP) equalizers. C-ELM achieves much lower symbol error rate (SER) and has faster learning speed.