Hi all, I am working for my master's thesis and I need to do a neural network to forecast stock market price, with also external inputs like technical indicators. I would like to know which function and package of R are more suitable for this study. Thanks a lot for your response, Arnaud TREBAOL. -- Arnaud Trébaol T.I.M.E. Student Ecole Centrale de Lille (09) Politecnico di Milano (10) Mail : arnaud.trebaol@centraliens-lille.org Tel1 : +33 (0)6 76 46 42 92 Tel2 : +39 327 280 57 68 [[alternative HTML version deleted]]
I'd start with the nnet library type: ?nnet CS ----- Corey Sparks, PhD Assistant Professor Department of Demography and Organization Studies University of Texas at San Antonio 501 West Durango Blvd Monterey Building 2.270C San Antonio, TX 78207 210-458-3166 corey.sparks 'at' utsa.edu https://rowdyspace.utsa.edu/users/ozd504/www/index.htm -- View this message in context: http://r.789695.n4.nabble.com/Neural-Network-tp2293366p2293369.html Sent from the R help mailing list archive at Nabble.com.
2010/7/18 Arnaud Tr?baol <arnaud.trebaol at mail.polimi.it>:> Hi all, > > I am working for my master's thesis and I need to do a neural network to > forecast stock market price, with also external inputs like technical > indicators. > I would like to know which function and package of R are more suitable for > this study. > > Thanks a lot for your response, > Arnaud TREBAOL.See also the following article in the current issue of the R Journal: neuralnet: Training of neural networks http://journal.r-project.org/archive/2010-1/RJournal_2010-1_Guenther+Fritsch.pdf -Rainer