Advances in Time Series Forecasting : Volume 2.
- 1st ed.
- 1 online resource (196 pages)
- Advances in Time Series Forecasting ; v.2 .
- Advances in Time Series Forecasting .
Intro -- CONTENTS -- PREFACE -- Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure -- Cagdas Hakan Aladag1,* and I. Burhan Turksen2 -- INTRODUCTION -- THE PROPOSED DISTANCE MEASURE AND THE SUGGESTED PERFORMANCE CRITERION -- THE APPLICATION -- CONCLUDING REMARKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Fuzzy Time Series Forecasting Model with Neural Network Structure -- Eren Bas* and Erol Egrioglu -- INTRODUCTION -- PROPOSED METHOD -- APPLICATION -- CONCLUSIONS AND DISCUSSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Two Factors High Order Non Singleton Type-1 and Interval Type-2 Fuzzy Systems for Forecasting Time Series with Genetic Algorithm -- M.H. Fazel Zarandi1, *, M. Yalinezhaad1 and I.B. Turksen2 -- INTRODUCTION -- Interval Type-2 Fuzzy Logic Sets and Systems -- Type-2 Fuzzy Logic Sets -- Non Singleton Interval Type-2 Fuzzy Logic Systems -- Determination of Footprints of Uncertainty (Umf and Lmf) in Interval Type-2 Fuzzy Logic Sets -- Fundamental Concepts of Fuzzy Time Series -- Proposed Two Factors High Order Non Singletontype-1 and Interval Type-2 Fuzzy Time Series Systems -- Tuning Method for Type-1 and Interval Type-2 FTSs with Genetic Algorithm -- Experimental Results by Temperature Prediction and TAIEX Forecasting -- Temperature Prediction with Proposed Method -- TAIEX Forecasting By Applying the Proposed Method with Genetic Algorithm -- GA Procedure -- Selection and Pairing -- Crossover -- Mutation and Reinsertion -- Termination Condition -- Type Reduction and Defuzzification -- CONCLUSION AND FUTURE WORKS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting -- Erol Egrioglu1,*, Cagdas Hakan Aladag2, Ufuk Yolcu3, Eren Bas1 and Ali Z. Dalar1. INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. Dalar1,*, Erol Egrioglu1, Ufuk Yolcu2 and Cagdas Hakan Aladag3 -- INTRODUCTION -- TYPE-1 FUZZY FUNCTIONS APPROACH -- IMPLEMENTATION -- Australian Beer Consumption Time Series -- Turkey Electricity Consumption Time Series -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Recurrent ANFIS for Time Series Forecasting -- Busenur Sarıca1,*, Erol Eğrioğlu2 and Barış Aşıkgil3 -- INTRODUCTION -- RECURRENT ADAPTIVE NETWORK FUZZY INFERENCE SYSTEMS. APPLICATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Hybrid Method for Forecasting of Fuzzy Time Series -- Eren Bas* -- INTRODUCTION -- THE METHODS USED IN THIS STUDY -- Fuzzy Time Series -- Genetic Algorithm -- Differential Evolution Algorithm -- PROPOSED METHOD -- APPLICATION -- Analysis of Canadian Lynx Data -- CONCLUSIONS -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- SUBJECT INDEX.