In this paper, a novel Z-number based Fuzzy Neural Network (Z-FNN) based on the
integration of Z-valued fuzzy logic and neural networks is proposed. Z-valued fuzzy rule …

This study uses a Mexican hat wavelet membership function for a cerebellar model
articulation controller (CMAC) to develop a more efficient adaptive controller for multiple …

Wavelet neural networks have been widely applied to dynamical system identification fields.
The most difficult issue lies in selecting the optimal control parameters (the wavelet base …

Abstract Machine learning is an effective technology for big data augmentation and analysis.
This research proposes an integrated machine learning algorithm (Skin Detection System) …

The performance and power of Wavelet Neural Networks (WNNs) rely on the proper
structure of the WNN. In this study, a hybrid approach is suggested to build a Wavelet Neural …

The entry point of this research is to reduce energy demand through different hardware
designs and changes in power management control. In the future, better energy saving …

Soft Computing Based Sliding Surface Adjustment of Second Order Sliding Mode Controllers:
An Application to Ship Steering Model Page 1 Journal of Survey in Fisheries Sciences 10(1) …