Reza Gharoie Ahangar
The Comparison of Methods Artificial Neural Network with Linear Regression Using Specific Variables for Prediction Stock Price in Tehran Stock Exchange.
Tue, 03/16/2010 - 16:01 — SomNambulAuthors: Reza Gharoie Ahangar, Mahmood Yahyazadehfar, Hassan Pournaghshband
Subjects: Neural and Evolutionary Computation
AbstractIn this paper, researchers estimated the stock price of activated companies
in Tehran (Iran) stock exchange. It is used Linear Regression and Artificial
Neural Network methods and compared these two methods. In Artificial Neural
Network, of General Regression Neural Network method (GRNN) for architecture is
used. In this paper, first, researchers considered 10 macro economic variables
and 30 financial variables and then they obtained seven final variables
including 3 macro economic variables and 4 financial variables to estimate the
stock price using Independent components Analysis (ICA).Handwritten Farsi Character Recognition using Artificial Neural Network.
Tue, 09/01/2009 - 12:47 — SomNambulAuthors: Reza Gharoie Ahangar, Mohammad Farajpoor Ahangar
Subjects: Computer Vision and Pattern Recognition
AbstractNeural Networks are being used for character recognition from last many years
but most of the work was confined to English character recognition. Till date,
a very little work has been reported for Handwritten Farsi Character
recognition. In this paper, we have made an attempt to recognize handwritten
Farsi characters by using a multilayer perceptron with one hidden layer. The
error backpropagation algorithm has been used to train the MLP network.
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