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https://www.jstage.jst.go.jp/article/ieejeiss/124/10/124_10_1944/_article
Application of Support Vector Machine to Forex Monitoring. Joarder Kamruzzaman ... based forex forecasting models over traditional regression models. This paper applies support vector machines to build a forecasting model from the historical data using six simple technical indicators and presents a comparison with an ANN based model trained by ...Cited by: 4
https://ui.adsabs.harvard.edu/abs/2004ITEIS.124.1944K/abstract
Previous studies have demonstrated superior performance of artificial neural network (ANN) based forex forecasting models over traditional regression models. This paper applies support vector machines to build a forecasting model from the historical data using six simple technical indicators and presents a comparison with an ANN based model trained by scaled conjugate gradient (SCG) learning ...Cited by: 4
https://link.springer.com/chapter/10.1007/978-3-540-70981-7_62
Support Vector Machine Support Vector Machine Model Time Series Prediction Time Series Application Support Vector Machine Performance These keywords were added by machine and not by the authors. This process is experimental and the keywords may …Cited by: 11
https://iopscience.iop.org/article/10.1088/1742-6596/364/1/012134/pdf
A New Application of Support Vector Machine Method: Condition Monitoring and Analysis of ... In this paper, condition monitoring and analysis based on support vector machine (SVM) is proposed. This method is just to aim at the small sample studies such as reactor coolant pump. Both experiment data and field data are analyzed.Cited by: 2
https://www.researchgate.net/publication/4047521_SVM_based_models_for_predicting_foreign_currency_exchange_rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA based model.
https://www.semanticscholar.org/paper/SVM-based-models-for-predicting-foreign-currency-Kamruzzaman-Sarker/8a84f038798ecd5e9a09e860f446968c00170383
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA based model. SVM-based forecasting model necessitates the selection of appropriate kernel function and values of free parameters: regularization parameter and /spl epsiv/-insensitive loss function. We investigate the ...
https://www.deepdyve.com/lp/wiley/application-of-support-vector-machine-for-pattern-classification-of-nljccr0Ynv
Jun 01, 2015 · Read "Application of support vector machine for pattern classification of active thermometry‐based pipeline scour monitoring, Structural Control and Health Monitoring" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://www.mql5.com/en/articles/584
Dec 17, 2012 · Support Vector Machines have long been used in fields such as bioinformatics and applied mathematics to assess complex data sets and extract useful patterns that can be used to classify data. This article looks at what a support vector machine is, how they work and why they can be so useful in extracting complex patterns.
http://clopinet.com/SVM.applications.html
Oct 23, 2006 · SVM Application List This list of Support Vector Machine applications grows thanks to visitors like you who ADD new entries. Thank you in advance for your contribution. Support vector machines-based generalized predictive control This work presents an application of the previously proposed Support Vector Machines Based Generalized Predictive Control (SVM-Based GPC) …
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