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ORCIDTime Series Analysis, Modeling and Applications 2013
- Witold Pedrycz, Shyi-Ming Chen:
Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective. Intelligent Systems Reference Library 47, Springer 2013, ISBN 978-3-642-33438-2 - José Luis Aznarte
, José Manuel Benítez:
The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting. 1-30 - Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Incomplete Time Series: Imputation through Genetic Algorithms. 31-52 - Ronald R. Yager:
Intelligent Aggregation and Time Series Smoothing. 53-75 - Adam Marszalek, Tadeusz Burczynski:
Financial Fuzzy Time Series Models Based on Ordered Fuzzy Numbers. 77-95 - Anna Walaszek-Babiszewska, Katarzyna Rudnik:
Stochastic-Fuzzy Knowledge-Based Approach to Temporal Data Modeling. 97-118 - Hsiang-Chuan Liu:
A Novel Choquet Integral Composition Forecasting Model for Time Series Data Based on Completed Extensional L-Measure. 119-137 - Chung-Ming Own:
An Application of Enhanced Knowledge Models to Fuzzy Time Series. 139-175 - Yoshiyuki Matsumoto, Junzo Watada:
A Wavelet Transform Approach to Chaotic Short-Term Forecasting. 177-197 - Wang-Kun Chen, Ping Wang:
Fuzzy Forecasting with Fractal Analysis for the Time Series of Environmental Pollution. 199-213 - James N. K. Liu, Yan-Xing Hu:
Support Vector Regression with Kernel Mahalanobis Measure for Financial Forecast. 215-227 - Lipo Wang, Shekhar Gupta:
Neural Networks and Wavelet De-Noising for Stock Trading and Prediction. 229-247 - Damien Coyle:
Channel and Class Dependent Time-Series Embedding Using Partial Mutual Information Improves Sensorimotor Rhythm Based Brain-Computer Interfaces. 249-278 - Christian Servin, Martine Ceberio, Aline Jaimes, Craig E. Tweedie, Vladik Kreinovich:
How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies. 279-299 - Yoshiyuki Matsumoto, Junzo Watada:
Building a Rough Sets-Based Prediction Model of Tick-Wise Stock Price Fluctuations. 301-329 - Yi-Chung Cheng, Sheng-Tun Li:
A Best-Match Forecasting Model for High-Order Fuzzy Time Series. 331-345 - Yoshiyuki Yabuuchi, Junzo Watada:
Building Fuzzy Autocorrelation Model and Its Application to the Analysis of Stock Price Time-Series Data. 347-367 - Tzu-Yi Pai, Su-Hwa Lin, Pei-Yu Yang, Dyi-Huey Chang, Jui-Ling Kuo:
Predicting Hourly Ozone Concentration Time Series in Dali Area of Taichung City Based on Seven Types of GM (1, 1) Model. 369-383 - Jian Yao, Wei Liu:
Nonlinear Time Series Prediction of Atmospheric Visibility in Shanghai. 385-399
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