TY  - CHAP
AU  - Ming-Tao Chou
ED  - Chun-Kit Ngan
Y1  - 2018-12-31
PY  - 2018
T1  - Fuzzy Forecast Based on Fuzzy Time Series
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. 2
UR  - https://doi.org/10.5772/intechopen.82843
DO  - 10.5772/intechopen.82843
SN  - 978-1-78984-779-6
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -