Suchergebnisse - Extended stochastic gradient algorithm

Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems von Liu, Haibo, Wang, Junwei, Meng, Xiangxiang

“… ‐in‐parameter system with autoregressive moving average noise. A maximum likelihood multi‐innovation stochastic gradient algorithm is derived to estimate the model …”
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Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems von Wang, Xuehai, Ding, Feng

“… This paper focuses on the parameter estimation problem of Box–Jenkins systems. Using the multi-innovation identification theory, an auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm is derived …”
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State-of-charge estimation with adaptive extended Kalman filter and extended stochastic gradient algorithm for lithium-ion batteries von Ye, Yuanmao, Li, Zhenpeng, Lin, Jingxiong, Wang, Xiaolin

“… •Computing cost is reduced by omitting the step of parameters extraction.•Parameters identification process is conducted by an algorithm of Extended Stochastic Gradient …”
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Extended stochastic gradient identification algorithms for Hammerstein–Wiener ARMAX systems von Wang, Dongqing, Ding, Feng

“… An extended stochastic gradient algorithm is developed to estimate the parameters of Hammerstein–Wiener ARMAX models …”
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A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems von Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang

“… ), this paper proposes a filtering based extended stochastic gradient (ESG) algorithm and a filtering based multi-innovation ESG algorithm for improving the parameter estimation accuracy …”
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Two improved generalized extended stochastic gradient algorithms for CARARMA systems von Lv, Lingling, Zhang, Yulin, Huang, Quanzhen, Wu, Yu

“… The paper innovatively proposes two improved generalized extended stochastic gradient (GESG …”
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A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems von Hu, Yuanbiao, Liu, Baolin, Zhou, Qin

“… This paper proposes a generalized extended stochastic gradient (GESG) algorithm for estimating the parameters of a class of Wiener nonlinear autoregressive moving average systems using the gradient search …”
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Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis von Liu, Yanjun, Yu, Li, Ding, Feng

“… This paper derives the multi-innovation extended stochastic gradient algorithm for controlled autoregressive moving average models by expanding the scalar innovation to an innovation vector …”
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Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms von Luo, Xin, Wang, Dexian, Zhou, MengChu, Yuan, Huaqiang

“… Stochastic gradient descent (SGD) is a highly efficient algorithm for building an LF model …”
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Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems von Xu, Ling, Ding, Feng, Lu, Xian, Wan, Lijuan, Sheng, Jie

“… After the model decomposition, a two-stage generalised extended stochastic gradient (GESG) algorithm is presented in accordance with these two separated submodels …”
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Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling von Wang, Ziyun, Wang, Yan, Ji, Zhicheng

“… In order to provide highly accurate parameter estimates and improve the convergence rate, a data filtering based multi-innovation extended stochastic gradient algorithm is presented to estimate …”
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Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems von Wang, Xuehai, Ding, Feng

“… Design/methodology/approach A partially coupled extended stochastic gradient algorithm is presented for nonlinear multivariable systems by using the decomposition technique …”
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A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems von Hu, Yuanbiao, Liu, Baolin, Zhou, Qin

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Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling von Wang, Ziyun, Wang, Yan, Ji, Zhicheng

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Weighted multi-innovation extended stochastic gradient identification for multivariable Hammerstein nonlinear systems based on multi-signal processing von Lyu, Bensheng, Wang, Qiang, Xu, Yanling, Zhang, Huajun, Cai, Chunbo

“… By combining the multi-innovation theory with the weight matrix, a weighted multi-innovation extended stochastic gradient algorithm with a forgetting factor is presented to estimate the parameters …”
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Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle von Shen, Qianyan, Ding, Feng

“… Thus, a hierarchical extended stochastic gradient (H-ESG) algorithm is given and a hierarchical multi-innovation extended stochastic gradient (H-MI-ESG …”
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Hierarchical gradient parameter estimation algorithms for fractional order Wiener OEARMA system von Li, Junhong, Zhang, Hongrui, Xiao, Kang, Gu, Juping

“… Then, the hierarchical extended stochastic gradient (H-ESG) and hierarchical multi-innovation extended stochastic gradient (H-MIESG …”
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Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems von Luo, Xin, Zhou, MengChu

“… ) analysis is highly efficient in grasping these patterns. Stochastic gradient descent (SGD) is a widely adopted algorithm to train an LF model …”
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Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique von Liu, Qinyao, Ding, Feng, Xu, Ling, Yang, Erfu

“… into a filtered system with white noises. Then the filtered system is decomposed into several subsystems and a filtering-based partially-coupled generalised extended stochastic gradient algorithm is developed via the coupling concept …”
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Parameter identification of fractional‐order Wiener system based on FF‐ESG and GI algorithms von Li, Junhong, Zhang, Hongrui, Gu, Juping, Hua, Liang

“… s. This paper studies the parameter identification of the fractional‐order Wiener system. In this paper, the forgetting factor extended stochastic gradient (FF‐ESG …”
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