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题名/责任者:

Computational intelligence-based time series analysis / editors Dinesh C. S. Bisht, Jaypee Institute of Information Technology, India, Mangey Ram, Graphic Era Deemed to be University, India, Peter the Great St. Petersburg Polytechnic University, Russia.

版本说明:

First edition.

出版发行项:

New York : Routledge, 2024.

ISBN:

9788770042574

载体形态项:

xxvii, 162 pages : illustrations ; 24 cm.

丛编说明:

River Publishers series in automation, control and robotics

附加个人名称:

Bisht, Dinesh C. S., editor.

附加个人名称:

Ram, Mangey, editor.

论题主题:

Time-series analysis.

论题主题:

Computational intelligence.

中图法分类号:

O211.61

一般附注:

Originally published: 2022.

书目附注:

Includes bibliographical references and index.

摘要附注:

"The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size and updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in time. Time series forecasting is a significant area of machine learning. There are various prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a developing computing approach for the forthcoming several years. CI gives the litheness to model the problem according to given requirements. It helps to find swift solutions to the problems arising in numerous disciplines. These methods mimic human behavior. The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or too difficult to model mathematically. This book aims to cover the recent advances in time series and applications of CI for time series analysis"--

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