دانلود کتاب تحلیل سری زمانی مبتنی بر هوش محاسباتی

The sequential analysis of data and information gathered from past to present is called as time series analysis. Time series data are of high dimension, large size and updated continuously. Times series depends on various factors like trend, seasonality, cycle and irregular dataset. A time series is basically a series of data points well-organised 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 from human behaviour. 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 the time series analysis. The projected audience for this book will be scientists, researchers and postgraduate students.