Advances in Time Series Forecasting

Advances in Time Series Forecasting

Volume: 2

Editor(s): Cagdas Hakan Aladag

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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 ...
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Preface  promotion: free to download

Pp. i-ii (2)

Cagdas Hakan Aladag

List of Contributors  promotion: free to download

Pp. iii

Cagdas Hakan Aladag

Fuzzy Time Series Forecasting Models Evaluation Based on A Novel Distance Measure

Pp. 1-23 (23)

Cagdas Hakan Aladag and I. Burhan Turksen

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A New Fuzzy Time Series Forecasting Model with Neural Network Structure

Pp. 24-36 (13)

Eren Bas and Erol Egrioglu

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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 and Ali Z. Dalar

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Fuzzy Functions Approach for Time Series Forecasting

Pp. 144-155 (12)

Ali Z. Dalar, Erol Egrioglu, Ufuk Yolcu and Cagdas Hakan Aladag

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Recurrent ANFIS for Time Series Forecasting

Pp. 156-164 (9)

Busenur Sarıca, Erol Egrioglu and Barıs Asıkgil

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Subject Index  promotion: free to download

Pp. 177-184 (8)

Cagdas Hakan Aladag