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Computational Intelligence based Time Series Analysis

Hardback
February 2022
9788770224178
More details
  • Publisher
    River Publishers
  • ISBN 9788770224178
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$115.00
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February 2022
9788770224161
More details
  • Publisher
    River Publishers
  • ISBN 9788770224161
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$115.00

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 and 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 covers the recent advances in time series and applications of CI for time series analysis.

1. On Dimensionless Dissimilarity Measures for Time Series

2. The Classification Analysis of Variability of Time Series of Different Origin

3. A Comparative Study of CNN Architectures for Remaining Useful Life Estimation

4. The Analyses of Dynamical Changes and Local Seismic Activity of Enguri Arch Dam

5. Analysis and Prediction of Closing Price of Commodity Index Using the Auto Regressive Integrated Moving Averages (ARIMA) Model

6. Neural Networks Analysis of Suspended Sediment Transport Time Series Modeling in a River System

7. Ranking Forecasting Algorithms Using MCDM Methods: A Python Based Application

8. Rainfall Prediction Using Artificial Neural Networks

9. Statistical Downscaling and Time Series Analysis for Future Scenarios of Temperature in Haridwar District, Uttarakhand

Dinesh C. S. Bisht, PhD

Dr. Dinesh C. S. Bisht received his PhD with a major in Mathematics and a minor in Electronics and Communication Engineering from G. B. Pant University of Agriculture and Technology, Uttarakhand, India. Before joining the Jaypee Institute of Information Technology he worked as an assistant professor at ITM University, Gurgaon, India. He has been a Faculty Member for around eleven years and has taught several core courses in applied mathematics and soft computing at undergraduate and master levels. His major research interests include soft computing and nature inspired optimization. He has published more than 38 research papers in national and international journals of repute. He is the Associate Editor for International Journal of Mathematical, Engineering and Management Sciences, ESCI and SCOPUS indexed journals. He is the editor of the book Computational Intelligence: Theoretical Advances and Advanced Applications published by Walter de Gruyter GmbH & Co KG. He has also published seven book chapters in reputed book series. Dr. Bisht is a member of the International Association of Engineers in Hong Kong and Soft Computing Research Society, India. He has been awarded for outstanding contributions in reviewing by the editors of Applied Soft Computing Journal, Elsevier.

Mangey Ram, PhD

Professor (Dr.) Mangey Ram received his Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for twelve years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era University, Dehradun, India. He is Editor-in-Chief of International Journal of Mathematical, Engineering and Management Sciences and Journal of Reliability and Statistical Studies; Editor-in-Chief of six book series; and the Guest Editor and Member of the editorial board of various journals. He has published 225 plus research publications (journal articles/book chapters/conference articles). Also, he has published more than 50 books (authored/edited) with international publishers. His fields of research are reliability theory and applied mathematics. Dr. Ram is a Senior Member of the IEEE, Senior Life Member of Operational Research Society of India, Society for Reliability Engineering, Quality and Operations Management in India, Indian Society of Industrial and Applied Mathematics. He has been a member of the organizing committee of a number of international and national conferences, seminars, and workshops. He has been conferred with “Young Scientist Award” by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009. He was awarded the “Best Faculty Award” in 2011; “Research Excellence Award” in 2015; and recently “Outstanding Researcher Award” in 2018 for his significant contribution in academics and research at Graphic Era Deemed to be University, Dehradun, India.

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