Parameter identification and dynamic response analysis of a modified Prandtl–Ishlinskii asymmetric hysteresis model via least-mean square algorithm and particle …
Hysteresis is a nonlinear phenomenon observed in the dynamic response behavior of
numerous structural systems under high intensity cyclic or random loading, as well as in …
numerous structural systems under high intensity cyclic or random loading, as well as in …
Hysteresis identification using extended preisach neural network
Hysteresis phenomena have been observed in different branches of physics and
engineering sciences. Therefore several models have been proposed for hysteresis …
engineering sciences. Therefore several models have been proposed for hysteresis …
Modeling hysteretic deteriorating behavior using generalized Prandtl neural network
In this paper, a new kind of activation function using a particular combination of stop and
play operators is proposed and used in a feedforward neural network to improve its learning …
play operators is proposed and used in a feedforward neural network to improve its learning …
Hysteresis simulation using least-squares support vector machine
M Farrokh - Journal of Engineering Mechanics, 2018 - ascelibrary.org
Hysteresis is a highly nonlinear phenomenon, which is observed in different branches of
sciences. The behavior of the hysteretic systems is usually controlled by some …
sciences. The behavior of the hysteretic systems is usually controlled by some …
[HTML][HTML] An Extreme Learning Machine for the Simulation of Different Hysteretic Behaviors
Hysteresis is a non− unique phenomenon known as a multi− valued mapping in different
fields of science and engineering. Accurate identification of the hysteretic systems is a …
fields of science and engineering. Accurate identification of the hysteretic systems is a …
Universal hysteresis identification using extended Preisach neural network
Hysteresis phenomena have been observed in different branches of physics and
engineering sciences. Therefore, several models have been proposed for hysteresis …
engineering sciences. Therefore, several models have been proposed for hysteresis …
Adaptive modeling of highly nonlinear hysteresis using preisach neural networks
M Farrokh, A Joghataie - Journal of Engineering Mechanics, 2014 - ascelibrary.org
In this paper, a new type of multilayer feedforward neural network has been proposed based
on inspiration from the Preisach model, which has been called the Preisach neural network …
on inspiration from the Preisach model, which has been called the Preisach neural network …
[PDF][PDF] Comparing the performance of greenhouse crop transpiration prediction models based on ANNs
G Jiankun, L Yanfei, L Zengjin, G Xuewen… - Journal of …, 2019 - jeb.co.in
The greenhouse vegetable cultivation is rapidly developing in China (Liao, 2016; Zhou and
Wang, 2013; Wei and Sun, 2014), and the indoor environment is very different from the …
Wang, 2013; Wei and Sun, 2014), and the indoor environment is very different from the …