Computational Intelligence-based Time Series Analysis

[LeeAndro]

English | 2022 | ISBN: ‎ 978-8770224178 | 191 pages | True PDF | 15.56 MB

The sequential analysis of data and information gathered from past to present is called series analysis.​

series data are of high dimension, large size and updated continuously. A series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in . series forecasting is a significant area of machine learning. There are various prediction problems that are -dependent and these problems can be handled through 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 are too difficult to model mathematically. This book aims to cover the recent advances in series and applications of CI for series analysis.



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