On-line system identification of complex systems using Chebyshev neural networks
Applied Soft Computing
CPBUM neural networks for modeling with outliers and noise
Applied Soft Computing
Information Sciences: an International Journal
Adaptive output feedback tracking control of robot manipulators using position measurements only
Expert Systems with Applications: An International Journal
Linear & non-linear channel equalization using Chebyshev artificial neural network
Proceedings of the International Conference on Advances in Computing, Communication and Control
Non-linear dynamic system identification using Cascaded Functional Link Artificial Neural Network
International Journal of Artificial Intelligence and Soft Computing
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Improved identification of Hammerstein plants using new CPSO and IPSO algorithms
Expert Systems with Applications: An International Journal
Channel equalization using neural networks: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Seasonality and neural networks: a new approach
International Journal of Metaheuristics
A comparison of networked approximators in parallel mode identification of a bioreactor
Advances in Engineering Software
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
Invariant set of weight of perceptron trained by perceptron training algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Sciences: an International Journal
Real-time implementation of Chebyshev neural network observer for twin rotor control system
Expert Systems with Applications: An International Journal
An adaptive decision feedback equalizer based on the combination of the FIR and FLNN
Digital Signal Processing
A novel learning scheme for Chebyshev functional link neural networks
Advances in Artificial Neural Systems
A new on-line modeling approach to nonlinear dynamic systems
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Adaptive neural complementary sliding-mode control via functional-linked wavelet neural network
Engineering Applications of Artificial Intelligence
Functional link neural network: artificial bee colony for time series temperature prediction
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
International Journal of Business Intelligence and Data Mining
Hi-index | 0.01 |
A computationally efficient artificial neural network (ANN) for the purpose of dynamic nonlinear system identification is proposed. The major drawback of feedforward neural networks, such as multilayer perceptrons (MLPs) trained with the backpropagation (BP) algorithm, is that they require a large amount of computation for learning. We propose a single-layer functional-link ANN (FLANN) in which the need for a hidden layer is eliminated by expanding the input pattern by Chebyshev polynomials. The novelty of this network is that it requires much less computation than that of a MLP. We have shown its effectiveness in the problem of nonlinear dynamic system identification. In the presence of additive Gaussian noise, the performance of the proposed network is found to be similar or superior to that of a MLP. A performance comparison in terms of computational complexity has also been carried out