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Prediction of stock market using artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Budhani, N. Jha, C.K. Budhani, S.K.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Amrapali Inst., Haldwani, India (Budhani, N.) \|\| Dept. of Comput. Sci. & Eng. Graphic, Graphic Era Hill Univ., Bhimtal, India (Budhani, S.K.) \|\| Dept. of Comput. Sci., Banasthali Vidyapeeth, Banasthali, India (Jha, C.K.)
Abstract	Presently, all over the world enormous amount of investment are dealing by the Stock Markets. Nationwide financial system are sturdily connected and closely inclined to the accomplishment of their Stock Markets. Additionally nowadays trading has become too reachable capital expenditure medium, for both planned investors as well as common man also. Artificial neural networks (ANN), belonging to Artificial Intelligence (AI), is a technique which is anticipated to identify samples (patterns) and obtain a data model. Significant characteristics of ANN are its potential for particular problem with progressively learning and inputs outputs mapping. Neural network is well accepted procedure to categorize unidentified, unobserved samples in input values that is appropriate to predict the stock market. Feedforward neural network with Backpropagation training algorithm has been taken by us to make prediction.
Starting Page	1
Ending Page	8
File Size	224005
Page Count	8
File Format	PDF
e-ISBN	9781467391207
DOI	10.1109/ICSCTET.2015.7371196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Backpropagation Neurons Time series analysis Artificial neural networks Prediction Artificial neural network (ANN) Feedforward neural networks Stock market Stock markets Biological neural networks
Content Type	Text
Resource Type	Article

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