...Xiaolong Lyu; Dan Huang; Liwei Wu; Ding Chen Purpose Parameter estimation in complex engineering structures typically necessitates repeated calculations using simulation models, leading to significant computational costs. This paper aims to introduce an adaptive multi-output Gaussian process (MOGP...

... represents soil moisture flux (cm min^{−1) and x represents the horizontal distance (cm). Soil water retention curve Parameter estimation Soil water diffusivity National Natural Science Foundation of China 51809217 Thus, Eq. (14) can be converted as: (15) i = k}...

...Xuehai Wang; Feng Ding Purpose The purpose of this paper is to study the parameter estimation problem of nonlinear multivariable output error moving average systems. Design/methodology/approach A partially coupled extended stochastic gradient algorithm is presented for nonlinear multivariable...

... autoregressive with exogenous input (ARX) and Box-Jenkins (BJ). © Emerald Group Publishing Limited 2015 (Equation 8) The variation of the non-conservative work is: (Equation 9) where τ is the torque applied by motor. Parameter estimation Dynamical modelling Flexible...

... the measured data and to replace the unknown terms in the information vector with their estimates (i.e. the outputs of the auxiliary model). Findings It is found that the proposed algorithms can give high accurate parameter estimation compared with existing stochastic gradient algorithm and recursive...

.... The following set of equations (3) defines the evolution for the internal “strain like” variables: (3) © MCB UP Limited 1998 Optimization Parameter estimation Sensitivity evaluation Viscoplasticity The work addresses a viscoplastic model as described by Johansson and Runesson (1997...

...Hiroshi Okuda; Shinobu Yoshimura; Genki Yagawa; Akihiro Matsuda Describes the parameter estimation procedures for the non‐linear finite element analysis using the hierarchical neural network. These procedures can be classified as the neural network based inverse analysis, which has been...