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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
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.
http://article.sapub.org/10.5923.j.statistics.20140401.03.html
Forecasting financial time series, such as stock price indices, is a complex process. This is because financial time series are usually quite noisy and involve ambiguous seasonal effects due to holidays, weekends, irregular closure periods of the stock market, changes in interest rates, and announcements of macroeconomic and political events.Cited by: 6
http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.statistics.20140401.03
Using Support Vector Machines in Financial Time Series Forecasting Mahmoud K. Okasha Department of Applied Statistics, Al-Azhar University – Gaza, Palestine Abstract Forecasting financial time series, such as stock price indices, is a complex process. This is because financialCited by: 6
https://www.sciencedirect.com/science/article/abs/pii/S0925231203003722
Support vector machines (SVMs) are promising methods for the prediction of financial time-series because they use a risk function consisting of the em…Cited by: 1474
https://www.researchgate.net/publication/226762803_Financial_Forecasting_Using_Support_Vector_Machines
The use of Support Vector Machines (SVMs) is studied in financial forecasting by comparing it with a multi-layer perceptron trained by the Back Propagation (BP) algorithm.
http://keddiyan.com/files/AHCI/week3/8.pdf
Financial time series forecasting using support vector machines Kyoung-jae Kim∗ Department of Information Systems, College of Business Administration, Dongguk University, 3-26, Pil-dong, Chung-gu, Seoul 100715, South Korea Received 28 February 2002; accepted 13 March2003 Abstract Support vector machines (SVMs) are promising methods for the ...
https://www.academia.edu/6068960/Using_Support_Vector_Machines_in_Financial_Time_Series_Forecasting
Using Support Vector Machines in Financial Time Series Forecasting
https://www.academia.edu/2138411/Financial_time_series_forecasting_using_support_vector_machines
Financial time series forecasting using support vector machines
https://link.springer.com/article/10.1007/s005210170010
As illustrated in the experiment, they have little impact on the solution. Analysis of the experimental results demonstrates that it is advantageous to apply SVMs to forecast the financial time series.Cited by: 422
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