TY - CHAP A1 - Yanyan Zheng A2 - Tong Shu A3 - Shou Chen A4 - Kin Keung Lai ED1 - Chun-Kit Ngan Y1 - 2019-11-06 PY - 2019 T1 - Using Gray-Markov Model and Time Series Model to Predict Foreign Direct Investment Trend for Supporting China’s Economic Development N2 - This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Section 1 discusses analyzing multivariate and fuzzy time series. Section 2 focuses on developing deep neural networks for time series forecasting and classification. Section 3 describes solving real-world domain-specific problems using time series techniques. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence. BT - Time Series Analysis SP - Ch. 6 UR - https://doi.org/10.5772/intechopen.83801 DO - 10.5772/intechopen.83801 SN - 978-1-78984-779-6 PB - IntechOpen CY - Rijeka Y2 - 2021-09-21 ER -