Search Results - "least square support vector regression algorithm"

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  1. 1

    Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels by Zhu, Man, Sun, Wuqiang, Wen, Yuanqiao, Huang, Liang

    ISSN: 2077-1312, 2077-1312
    Published: Basel MDPI AG 01.09.2022
    Published in Journal of marine science and engineering (01.09.2022)
    “…Identification of parameters involved in the linear response model with high precision is a highly cost-effective, as well as a challenging task, in developing…”
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    Journal Article
  2. 2

    A Novel Adaptive Weighted Least Square Support Vector Regression Algorithm-based Identification of the Ship Dynamic Model by Zhu, Man, Wen, Yuanqiao, Sun, Wuqiang, Wu, Bo

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2019
    Published in IEEE access (01.01.2019)
    “…This study contributes to developing a novel hybrid identification method based on intelligent algorithms, i.e. the least support vector regression algorithm…”
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    Journal Article
  3. 3

    Adaptive indoor positioning method based on direction discrimination and device conversion by Li, Shirong, Fu, Maosheng, Zhu, Xuemei, Zhang, Fenghui, He, Fugui

    ISSN: 2043-6386, 2043-6394, 2043-6394
    Published: The Institution of Engineering and Technology 01.04.2020
    Published in IET wireless sensor systems (01.04.2020)
    “…Received signal strength (RSS) greatly differs due to the different occlusion directions and receiving device heterogeneity. It greatly affects the positioning…”
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    Journal Article
  4. 4

    1376. Crack detection in a pipe by adaptive subspace iteration algorithm and least square support vector regression by Wang, Youming, Wu, Qing

    ISSN: 1392-8716
    Published: JVE International Ltd 01.09.2014
    Published in Journal of Vibroengineering (01.09.2014)
    “…A new combination method of beam-type finite element multiwavelet-based algorithm and least square support vector regression (LSSVR) algorithm is proposed for…”
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    Journal Article