Algorithmic aspects of analysis, pre...
Kreinovich, Vladik.

 

  • Algorithmic aspects of analysis, prediction, and control in science and engineering[electronic resource] :an approach based on symmetry and similarity /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 005.1
    書名/作者: Algorithmic aspects of analysis, prediction, and control in science and engineering : an approach based on symmetry and similarity // by Jaime Nava, Vladik Kreinovich.
    作者: Nava, Jaime.
    其他作者: Kreinovich, Vladik.
    出版者: Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
    面頁冊數: viii, 155 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer algorithms.
    標題: Symmetry (Mathematics)
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Control.
    ISBN: 9783662449554 (electronic bk.)
    ISBN: 9783662449547 (paper)
    內容註: Introduction: Symmetries and Similarities as a Methodology for Algorithmics of Analysis, Prediction, and Control in Science and Engineering.-- Algorithmic Aspects of Real-Life Systems Analysis: Approach Based on Symmetry and Simila -- Algorithmic Aspects of Prediction: An Approach Based on Symmetry and Similarity -- Algorithmic Aspects of Control: Approach Based on Symmetry and Similarity -- Possible Ideas for FutureWork.
    摘要、提要註: This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance. This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control.
    電子資源: http://dx.doi.org/10.1007/978-3-662-44955-4
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