| 000 | 05936nam a22004693i 4500 | ||
|---|---|---|---|
| 001 | EBC5185029 | ||
| 003 | MiAaPQ | ||
| 005 | 20240729131649.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 240724s2017 xx o ||||0 eng d | ||
| 020 |
_a9781681085289 _q(electronic bk.) |
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| 020 | _z9781681085296 | ||
| 035 | _a(MiAaPQ)EBC5185029 | ||
| 035 | _a(Au-PeEL)EBL5185029 | ||
| 035 | _a(CaPaEBR)ebr11481357 | ||
| 035 | _a(OCoLC)1015873425 | ||
| 040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
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| 050 | 4 | _aCB158 .A383 2017 | |
| 082 | 0 | _a303.49 | |
| 100 | 1 | _aAladag, Cagdas Hakan. | |
| 245 | 1 | 0 |
_aAdvances in Time Series Forecasting : _bVolume 2. |
| 250 | _a1st ed. | ||
| 264 | 1 |
_aSharjah : _bBentham Science Publishers, _c2017. |
|
| 264 | 4 | _c©2017. | |
| 300 | _a1 online resource (196 pages) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aAdvances in Time Series Forecasting ; _vv.2 |
|
| 505 | 0 | _aIntro -- 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. | |
| 505 | 8 | _aINTRODUCTION -- 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. | |
| 505 | 8 | _aAPPLICATION -- 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. | |
| 588 | _aDescription based on publisher supplied metadata and other sources. | ||
| 590 | _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
| 650 | 0 | _aForecasting. | |
| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aAladag, Cagdas Hakan _tAdvances in Time Series Forecasting: Volume 2 _dSharjah : Bentham Science Publishers,c2017 _z9781681085296 |
| 797 | 2 | _aProQuest (Firm) | |
| 830 | 0 | _aAdvances in Time Series Forecasting | |
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=5185029 _zClick to View |
| 999 |
_c134155 _d134155 |
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