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River Publishers Series in Automation, Control and Robotics 

Computational Intelligence-based Time Series Analysis

Dinesh C. S. Bisht, Jaypee Institute of Information Technology, India
Mangey Ram, Graphic Era (Deemed to be University), India

ISBN: 9788770224178
e-ISBN: 9788770224161

Price: € 95.00

Available: March 2022



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.


Dissimilarity measures, classification analysis, time Series, life estimation, Local Seismic Activity, auto regressive integrated moving averages (ARIMA), artificial neural networks ranking forecasting algorithms, MCDM, rainfall prediction