Adaptive wavelet network for multiple cardiac arrhythmias recognition
Expert Systems with Applications: An International Journal
Fast learning in networks of locally-tuned processing units
Neural Computation
Artificial wavelet neural network and its application in neuro-fuzzy models
Applied Soft Computing
Power signal classification using dynamic wavelet network
Applied Soft Computing
Nonlinear systems control using self-constructing wavelet networks
Applied Soft Computing
Engineering Applications of Artificial Intelligence
Real time face and mouth recognition using radial basis function neural networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Artificial neural network and wavelet neural network approaches for modelling of a solar air heater
Expert Systems with Applications: An International Journal
A model updating strategy for predicting time series with seasonal patterns
Applied Soft Computing
New fuzzy wavelet neural networks for system identification and control
Applied Soft Computing
A novel biorthogonal wavelet network system for off-angle iris recognition
Pattern Recognition
Optimal MLP neural network classifier for fault detection of three phase induction motor
Expert Systems with Applications: An International Journal
A new approach to fuzzy wavelet system modeling
International Journal of Approximate Reasoning
Comparison of new activation functions in neural network for forecasting financial time series
Neural Computing and Applications
Nonlinear system modeling using wavelet networks
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
A novel generalized congruence neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy wavelet networks for function learning
IEEE Transactions on Fuzzy Systems
FPGA implementation of a wavelet neural network with particle swarm optimization learning
Mathematical and Computer Modelling: An International Journal
Using wavelet network in nonparametric estimation
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Computers & Mathematics with Applications
Predicting time series of railway speed restrictions with time-dependent machine learning techniques
Expert Systems with Applications: An International Journal
An observer-based adaptive neural network tracking control of robotic systems
Applied Soft Computing
Human lower extremity joint moment prediction: A wavelet neural network approach
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this paper, in order to improve the predictive capability of WNNs, the types of activation functions used in the hidden layer of the WNN were varied. The modified WNNs were then applied in approximating a benchmark piecewise function. Subsequently, performance comparisons with other developed methods in studying the same benchmark function were made. An assessment analysis showed that this proposed approach outperformed the rest. The efficiency of the modified WNNs was explored through a real-world application problem-specifically, the prediction of time-series pollution data at Texas of United States. The comparative experimental results showed that integrating different wavelet families into the hidden layer of WNNs leads to superior performance.