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https://www.sciencedirect.com/science/article/pii/S0305048301000263
This paper deals with the application of a novel neural network technique, support vector machine (SVM), in financial time series forecasting. The objective of this paper is to examine the feasibility of SVM in financial time series forecasting by comparing it with a multi-layer back-propagation (BP) neural network.Cited by: 1242
https://www.researchgate.net/publication/23794320_Application_of_support_vector_machines_in_financial_time_series_forecasting
Request PDF Application of support vector machines in financial time series forecasting This paper deals with the application of a novel neural network technique, support vector machine (SVM ...
https://www.sciencedirect.com/science/article/pii/S0925231203003722
2.2. Prior applications of SVM in financial time-series forecasting. As mentioned above, the BP network has been widely used in the area of financial time series forecasting because of its broad applicability to many business problems and preeminent learning ability.Cited by: 1474
http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.03
application of ANN for a time series, see Okasha & Yassin [26 ], and Tseng, Yu & Tzeng [27 ]. 3. Support Vector Machines SVM is used for a variety of purposes, particularly classification and regression problems. SVM can be especially useful in time series forecasting, from the stock market to chaotic systems[28].Cited by: 6
https://ideas.repec.org/a/eee/jomega/v29y2001i4p309-317.html
Downloadable (with restrictions)! This paper deals with the application of a novel neural network technique, support vector machine (SVM), in financial time series forecasting. The objective of this paper is to examine the feasibility of SVM in financial time series forecasting by comparing it with a multi-layer back-propagation (BP) neural network.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914930/
Feb 05, 2014 · Support vector machines are potentially useful endemic time series forecasting methods because of their strong nonlinear mapping ability and tolerance to complexity in forecasting data. SVMs have very good learning ability in time series modeling.Cited by: 79
https://www.deepdyve.com/lp/elsevier/application-of-support-vector-machines-in-financial-time-series-Q0jU530J7C
Aug 01, 2001 · Read "Application of support vector machines in financial time series forecasting, Omega" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.436.4268&rep=rep1&type=pdf
Application of support vector machines in nancial ... most challenging applications of modern time series fore-casting.AsexplainedbyDeboeckandYaser[1,2],nancial time series are inherently noisy, non-stationary and deter- ... The use of SVMs in nancial time series forecasting ...
https://ieeexplore.ieee.org/document/4840324
Apr 24, 2009 · Time Series Prediction Using Support Vector Machines: A Survey Abstract: Time series prediction techniques have been used in many real-world applications such as financial market prediction, electric utility load forecasting , weather and environmental state prediction, and reliability forecasting.Cited by: 698
https://www.researchgate.net/publication/259479674_Using_Support_Vector_Machines_in_Financial_Time_Series_Forecasting
36 Mahmoud K. Okasha: Using Support Vector Machines in Financial Time Series Forecasting Because we did not know the optimal embedding dimension p, we first had to determine this value.
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