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题名/责任者:

Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering An Approach Based on Symmetry and Similarity / by Jaime Nava, Vladik Kreinovich.

版本说明:

1st ed. 2015.

出版发行项:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.

ISBN:

9783662449554

其它标准号:

10.1007/978-3-662-44955-4

载体形态项:

VIII, 155 p. 8 illus. online resource.

主文献:

Springer Nature eBook

其他载体形态:

Printed edition: 9783662449561

其他载体形态:

Printed edition: 9783662449547

其他载体形态:

Printed edition: 9783662511596

丛编说明:

Studies in Systems, Decision and Control, 2198-4182 ; 14

丛编统一题名:

Studies in Systems, Decision and Control, 14

个人责任者:

Nava, Jaime. author.

附加个人名称:

Kreinovich, Vladik. author.

附加团体名称:

SpringerLink (Online service)

论题主题:

Computational intelligence.

论题主题:

Artificial intelligence.

论题主题:

Control engineering.

论题主题:

Computational Intelligence.

论题主题:

Artificial Intelligence.

论题主题:

Control and Systems Theory.

内容附注:

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.

摘要附注:

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.

电子资源:

https://doi.org/10.1007/978-3-662-44955-4

豆瓣简介：