This paper presents fuzzy wavelet neural network (FWNN) models for prediction and
identification of nonlinear dynamical systems. The proposed FWNN models are obtained …

Although the practicability of using wavelet neural networks (WNNs) in nonlinear function
approximation has been addressed extensively, selecting the optimal number of hidden …

In this paper adaptive control of nonlinear dynamical systems using diagonal recurrent
neural network (DRNN) is proposed. The structure of DRNN is a modification of fully …

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 …

In this paper, a comparative study is performed to test the approximation ability of different
neural network structures. It involves three neural networks multilayer feedforward neural …

The Kalman filter (KF) has been implemented as the primary integration scheme of the
global positioning system (GPS) and inertial navigation systems (INS) for many land vehicle …

This paper presents a new adaptive fuzzy wavelet network controller (A-FWNC) for control of
nonlinear affine systems, inspired by the theory of multiresolution analysis (MRA) of wavelet …

Well testing analysis is performed for detecting oil and gas reservoir model and estimating
its associated parameters from pressure transient data which are often recorded by pressure …

In this paper, the use of radial basis function network (RBFN) for simultaneous online
identification and indirect adaptive control of nonlinear dynamical systems is demonstrated …

Diabetes Mellitus is a chronic metabolic disorder, where the improper management of the
blood glucose level in the diabetic patients will lead to the risk of heart attack, kidney …