02817nam 2200541 450 991079572700332120230117081228.01-000-79697-31-00-333767-81-003-33767-81-000-79381-887-7022-416-1(CKB)5720000000006935(MiAaPQ)EBC29357124(Au-PeEL)EBL29357124(MiAaPQ)EBC7078879(Au-PeEL)EBL7078879(EXLCZ)99572000000000693520230117d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputational intelligence-based time series analysis /Dinesh C. S. Bisht and Mangey Ram, editors1st ed.Gistrup, Denmark ;London ;New York, New York :River Publishers :Routledge,[2022]©20221 online resource (192 pages)River Publishers series in automation, control and roboticsIncludes index.87-7022-417-X "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"--Provided by publisher.River Publishers series in automation, control and robotics.Time-series analysisComputational intelligenceTime-series analysis.Computational intelligence.519.55Bisht Dinesh C. S.Ram MangeyMiAaPQMiAaPQMiAaPQBOOK9910795727003321Computational intelligence-based time series analysis3785304UNINA