LIBROS DEL AUTOR: xin luo

5 resultados para LIBROS DEL AUTOR: xin luo

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  • Robot Control and Calibration
    Long Jin / Xin Luo / Zhibin Li
    This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. M...
    Disponible

    61,98 €

  • Dynamic Network Representation Based on Latent Factorization of Tensors
    Hao Wu / Xin Luo / Xuke Wu
    A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a...
    Disponible

    48,47 €

  • Dynamic Network Representation Based on Latent Factorization of Tensors
    Hao Wu / Xin Luo / Xuke Wu
    A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a...
    Disponible

    61,82 €

  • Latent Factor Analysis for High-dimensional and Sparse Matrices
    Xin Luo / Ye Yuan
    Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tun...
    Disponible

    55,71 €

  • Latent Factor Analysis for High-dimensional and Sparse Matrices
    Xin Luo / Ye Yuan
    Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tun...
    Disponible

    48,66 €