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Reseach Article

Financial Forecasting using Neural Networks: A Review

Published on November 2011 by Punam Varghade, Prof. Rahila Sheikh
2nd National Conference on Information and Communication Technology
Foundation of Computer Science USA
NCICT - Number 1
November 2011
Authors: Punam Varghade, Prof. Rahila Sheikh
00353913-c3e9-4677-91b1-e90a440f9646

Punam Varghade, Prof. Rahila Sheikh . Financial Forecasting using Neural Networks: A Review. 2nd National Conference on Information and Communication Technology. NCICT, 1 (November 2011), 1-6.

@article{
author = { Punam Varghade, Prof. Rahila Sheikh },
title = { Financial Forecasting using Neural Networks: A Review },
journal = { 2nd National Conference on Information and Communication Technology },
issue_date = { November 2011 },
volume = { NCICT },
number = { 1 },
month = { November },
year = { 2011 },
issn = 0975-8887,
pages = { 1-6 },
numpages = 6,
url = { /proceedings/ncict/number1/4196-ncict001/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Information and Communication Technology
%A Punam Varghade
%A Prof. Rahila Sheikh
%T Financial Forecasting using Neural Networks: A Review
%J 2nd National Conference on Information and Communication Technology
%@ 0975-8887
%V NCICT
%N 1
%P 1-6
%D 2011
%I International Journal of Computer Applications
Abstract

Neural networks are good at classification, forecasting and recognition. They are also good candidates of financial forecasting tools. Forecasting is often used in the decision making process. Neural network training is an art. Trading based on neural network outputs, or trading strategy is also an art. We will discuss a seven-step neural network forecasting model building approach in this article. Pre and post data processing/analysis skills, data sampling, training criteria and model recommendation will also be covered in this article.

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Index Terms

Computer Science
Information Sciences

Keywords

Neural Networks Finance Time Series Analysis Forecasting Artificial Intelligence