Editor: Cagdas H. Aladag

Advances in Time Series Forecasting

Volume 2

eBook: US $29 Special Offer (PDF + Printed Copy): US $133
Printed Copy: US $119
Library License: US $116
ISSN: 2543-2796 (Print)
ISSN: 2543-280X (Online)
ISBN: 978-1-68108-529-6 (Print)
ISBN: 978-1-68108-528-9 (Online)
Year of Publication: 2017
DOI: 10.2174/97816810852891170201

Introduction

This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications.

Preface

- Pp. i-ii (2)
Cagdas Hakan Aladag
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List of Contributors

- Pp. iii
Cagdas Hakan Aladag
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Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure

- Pp. 1-23 (23)
Cagdas Hakan Aladag, I. Burhan Turksen
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A New Fuzzy Time Series Forecasting Model with Neural Network Structure

- Pp. 24-36 (13)
Eren Bas, Erol Egrioglu
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Two Factors High Order Non Singleton Type-1 and Interval Type-2 Fuzzy Systems for Forecasting Time Series with Genetic Algorithm

- Pp. 37-75 (39)
M.H. Fazel Zarandi, M. Yalinezhaad, I. B. Turksen
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A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting

- Pp. 76-92 (17)
Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, Eren Bas, Ali Z. Dalar
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A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process

- Pp. 93-110 (18)
Ozge Cagcag Yolcu
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Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix

- Pp. 111-126 (16)
Cagdas Hakan Aladag, Hilal Guney
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A New High Order Multivariate Fuzzy Time Series Forecasting Model

- Pp. 127-143 (17)
Ufuk Yolcu
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Fuzzy Functions Approach for Time Series Forecasting

- Pp. 144-155 (12)
Ali Z. Dalar, Erol Egrioglu, Ufuk Yolcu, Cagdas Hakan Aladag
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Recurrent ANFIS for Time Series Forecasting

- Pp. 156-164 (9)
Busenur Sarıca, Erol Egrioglu, Barıs Asıkgil
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A Hybrid Method for Forecasting of Fuzzy Time Series

- Pp. 165-176 (12)
Eren Bas
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Subject Index

- Pp. 177-184 (8)
Cagdas Hakan Aladag
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