Modeling renewable energy systems by a self-evolving nonlinear consequent part recurrent type-2 fuzzy system for power prediction
A novel Nonlinear Consequent Part Recurrent Type-2 Fuzzy System (NCPRT2FS) is
presented for the modeling of renewable energy systems. Not only does this paper present a …
presented for the modeling of renewable energy systems. Not only does this paper present a …
Wavelet extreme learning machine and deep learning for data classification
Abstract Recently, the Extreme Learning Machine (ELM) algorithm has been applied to
various fields due to its rapidity and significant generalization performance. Traditionally …
various fields due to its rapidity and significant generalization performance. Traditionally …
Nonlinear system identification based on a self-organizing type-2 fuzzy RBFN
This paper presents a new self-evolving recurrent Type-2 Fuzzy Radial Basis Function
Network (T2FRBFN) in which the weights are considered Gaussian type-2 fuzzy sets and …
Network (T2FRBFN) in which the weights are considered Gaussian type-2 fuzzy sets and …
Stable ANFIS2 for nonlinear system identification
This paper presents a novel adaptive neuro fuzzy inference system that uses interval
Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as …
Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as …
A new type-II fuzzy system for flexible-joint robot arm control
J Tavoosi, F Mohammadi - 2019 6th International Conference …, 2019 - ieeexplore.ieee.org
In this paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) based on the Interval
Gaussian Type-II Fuzzy sets in the antecedent part and Gaussian Type-I Fuzzy sets as …
Gaussian Type-II Fuzzy sets in the antecedent part and Gaussian Type-I Fuzzy sets as …
Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part
A necessary condition for stability of a class of recurrent type-2 TSK fuzzy systems is
presented. In this system, the antecedent part is indeed represented by interval Gaussian …
presented. In this system, the antecedent part is indeed represented by interval Gaussian …
Stability analysis of a class of MIMO recurrent type-2 fuzzy systems
This paper presents a sufficient condition for stability of a class of multiple input multiple
output recurrent type-2 TSK fuzzy systems using spectrum analysis. In this class of type-2 …
output recurrent type-2 TSK fuzzy systems using spectrum analysis. In this class of type-2 …
Self‐recurrent wavelet neural network–based identification and adaptive predictive control of nonlinear dynamical systems
R Kumar, S Srivastava, JRP Gupta… - International Journal of …, 2018 - Wiley Online Library
In this paper, the problem of simultaneous identification and predictive control of nonlinear
dynamical systems using self‐recurrent wavelet neural network (SRWNN) is addressed. The …
dynamical systems using self‐recurrent wavelet neural network (SRWNN) is addressed. The …
Numerical Solution of Time Fractional Black–Scholes Model Based on Legendre Wavelet Neural Network with Extreme Learning Machine
X Zhang, J Yang, Y Zhao - Fractal and Fractional, 2022 - mdpi.com
In this paper, the Legendre wavelet neural network with extreme learning machine is
proposed for the numerical solution of the time fractional Black–Scholes model. In this way …
proposed for the numerical solution of the time fractional Black–Scholes model. In this way …
A wavelet neural network based non-linear model predictive controller for a multi-variable coupled tank system
In this paper, a novel real time non-linear model predictive controller (NMPC) for a multi-
variable coupled tank system (CTS) is designed. CTSs are highly non-linear and can be …
variable coupled tank system (CTS) is designed. CTSs are highly non-linear and can be …