Adaptive filtering with the self-organizing map: a performance comparison
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Information Sciences: an International Journal
Non-linear dynamic system identification using Cascaded Functional Link Artificial Neural Network
International Journal of Artificial Intelligence and Soft Computing
IEEE Transactions on Neural Networks
Development of immunized PSO algorithm and its application to Hammerstein model identification
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Computationally efficient FLANN-based intelligent stock price prediction system
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Functional link artificial neural network-based disease gene prediction
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
IEEE Transactions on Signal Processing
Channel equalization using neural networks: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Expert Systems with Applications: An International Journal
Δ-Entropy: Definition, properties and applications in system identification with quantized data
Information Sciences: an International Journal
Information Sciences: an International Journal
An adaptive decision feedback equalizer based on the combination of the FIR and FLNN
Digital Signal Processing
New robust forecasting models for exchange rates prediction
Expert Systems with Applications: An International Journal
GBF Trained Neuro-fuzzy Equalizer for Time Varying Channels
International Journal of Applied Evolutionary Computation
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Application of artificial neural networks (ANN's) to adaptive channel equalization in a digital communication system with 4-QAM signal constellation is reported in this paper. A novel computationally efficient single layer functional link ANN (FLANN) is proposed for this purpose. This network has a simple structure in which the nonlinearity is introduced by functional expansion of the input pattern by trigonometric polynomials. Because of input pattern enhancement, the FLANN is capable of forming arbitrarily nonlinear decision boundaries and can perform complex pattern classification tasks. Considering channel equalization as a nonlinear classification problem, the FLANN has been utilized for nonlinear channel equalization. The performance of the FLANN is compared with two other ANN structures [a multilayer perceptron (MLP) and a polynomial perceptron network (PPN)] along with a conventional linear LMS-based equalizer for different linear and nonlinear channel models. The effect of eigenvalue ratio (EVR) of input correlation matrix on the equalizer performance has been studied. The comparison of computational complexity involved for the three ANN structures is also provided