Zobrazeno 1 - 10 of 87 pro vyhledávání: '"Shunshoku, Kanae"'
3
Diffusion logistic regression algorithms over multiagent networks
Autor: Lijuan Jia, Yan Du, Shunshoku Kanae, Zi-Jiang Yang
Publikováno v: Control Theory and Technology. 18:160-167
In this paper, a distributed scheme is proposed for ensemble learning method of bagging, which aims to address the classification problems for large dataset by developing a group of cooperative logistic regression learners in a connected network. Mov
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abae7af068a75b9e8d5391d9a694a83f
https://doi.org/10.1007/s11768-020-0009-2
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5
Blind Equalization under Noisy Environment using Bias-compensated RLS method
Autor: Lijuan Jia, Zhen Zhang, Shunshoku Kanae, Zi-Jiang Yang
Publikováno v: 2021 40th Chinese Control Conference (CCC).
In this paper, a new blind adaptive equalization algorithm under noisy environment is proposed. We consider a practical case where the noise of each transmission channel is unknown. By oversampling the channel output at twice the symbol rate, a singl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::feafa95e39be9d05abe7fd1081949a0a
https://doi.org/10.23919/ccc52363.2021.9550546
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7
On the Recursive Algorithm of Bias Compensated Weighted Least Squares Method
Autor: Kiyoshi Wada, Shunshoku Kanae, Masato Ikenoue
Publikováno v: SICE
This paper investigates the problem of identifying errors-in-variables (EIV) models, where the both input and output measurements are corrupted by white noises, and addresses a new efficient recursive identification algorithm. The identification prob
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3828c3ab0e58dacc802b90b5da9cdbbe
https://doi.org/10.23919/sice.2019.8859797
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8
Gossip BCLMS Method over multi-agent networks
Autor: Shunshoku Kanae, Cheng Ma, Lijuan Jia, Lu Fan, Jinli Yang
Publikováno v: 2019 Chinese Control Conference (CCC).
We study the problem of parameter estimation over multi-agent networks, where all nodes are corrupted by both input and output noise. A series of BCLMS algorithms based on diffusion strategies have been proposed, which modify the estimates while incr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea0a0d2037625ee62ebc043dbd281ac9
https://doi.org/10.23919/chicc.2019.8866323
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9
Research of the micro grid renewable energy control system based on renewable related data mining and forecasting technology
Autor: Jing Bai, Shunshoku Kanae, Yao jun Qu, Lin Yue, Yan xia Song
Publikováno v: International Journal of Computational Science and Engineering. 24:385
The output power of renewable energy has the characteristics of random fluctuation and instability, which has a harmful effect on stability of renewable power grid and causes the problem of low utilisation ratio on renewable energy output power. Thus
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::610455417cabc647150afc4f5299e192
https://doi.org/10.1504/ijcse.2021.10039971
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10
Time Series Online Prediction Based on Adaptive Dynamic Adjustment Kernel Recursive Least Squares Algorithm
Autor: Min Han, Shunshoku Kanae, Junzhu Ma
Publikováno v: 2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP).
Kernel recursive least squares algorithm is widely employed in online prediction of time series as a kernel expend method. In the process of recursive updating, it has a lower computational complexity and a fewer storage memory. However, with the add
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::635a3feafbda1ec990420e1187d70f73
https://doi.org/10.1109/icicip.2018.8606696
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