Searching for Ahybridarimaand Support Vector Machines Model In Stock Price Forecasting information? Find all needed info by using official links provided below.
https://www.sciencedirect.com/science/article/pii/S0305048304001082
Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems. Therefore, this investigation proposes a hybrid methodology that exploits the unique strength of the ARIMA model and the SVMs model in forecasting stock prices problems.Cited by: 693
https://www.researchgate.net/publication/222190824_A_hybrid_ARIMA_and_support_vector_machines_model_in_stock_price_forecasting
Pai and Lin [17] developed a hybrid ARIMA and support vector machines (SVM) model for stock price forecasting. Chun-Ling Lin and Shyu [18] presented an application of hybrid multi-model ...
https://www.semanticscholar.org/paper/A-hybrid-ARIMA-and-support-vector-machines-model-in-Pai-Lin/2b41f01a548c123ff183197ab0177769505a6872
Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems. Therefore, this investigation proposes a hybrid methodology that exploits the unique strength of the ARIMA model and the SVMs model in forecasting stock prices problems.
http://keddiyan.com/files/AHCI/week3/4.pdf
Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation ... and the SVMs model in forecasting stock prices problems. Real data sets of stock prices were used to examine the forecasting ... Forecasting stock prices has been regarded as one of the
https://pdfs.semanticscholar.org/b9f7/e99b1da5a23594f2bca96d053e95f7b8c63f.pdf
forecasting model [3, 9, 13] is not only a model that employs statistics [11] to formulate the model such as ARIMA and Holt-Winters but it is also a model that employs machine learning algorithm [6, 12, 10, 5] to formulate the model such as Artificial Neural Networks (ANNs) or Support Vector Machine (SVM). Moreover,
https://www.deepdyve.com/lp/elsevier/a-hybrid-arima-and-support-vector-machines-model-in-stock-price-uKnWDMnd7U
Dec 01, 2005 · A hybrid ARIMA and support vector machines model in stock price forecasting However, the ARIMA model cannot easily capture the nonlinear patterns. Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems.
https://link.springer.com/chapter/10.1007%2F978-3-319-57618-3_6
May 10, 2017 · Pai PF, Lin CS (2005) A hybrid ARIMA and support vector machines model in stock price forecasting. Omega 33:497–505 CrossRef Google Scholar Seifert J, Marliese UH, Michael W (2008) Dynamic behavior of CO 2 spot prices.Cited by: 195
https://www.semanticscholar.org/paper/A-study-of-applying-ARIMA-and-SVM-model-to-software-Lo/01a086906d6f354ec1a72e42c54faec2629192cc
Therefore, in this study, the utilization of Support Vector Machine (SVM) as a nonlinear model and ARIMA as a linear model are integrated in software reliability forecasting. Experiments on real-world data set validate the effectiveness of the hybrid model.
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