STOCK MARKET PREDICTION USING ARTIFICIAL NEURAL NETWORKS

被引：0
|
作者：
Bharne, Pankaj K. [1 ]
Prabhune, Sameer S. [2 ]
机构：
[1] Shri St Gajanan Maharaj Coll Engn, Dept Comp Sci & Engn, Shegaon 444203, MH, India
[2] Shri St Gajanan Maharaj Coll Engn, Dept Informat Technol, Shegaon 444203, MH, India
来源：
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS) | 2019年
关键词：
Artificial Neural Networks (ANNs); Stock Market; Prediction;
D O I：
10.1109/iccs45141.2019.9065702
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Anticipating securities exchange precisely has dependably charmed the market analysts.During the previous couple of decades different AI strategies have been connected to ponder the very stochastic nature of financial exchange by catching and utilizing dull examples. Stock exercises evaluating are an intense interest for stock clients. This stock evaluating is a testing issue. Henceforth, we should a need to create application that is able to precisely foresee bearings of stock value movement.Forecasting and anticipating the patterns of market is the most critical utilizations of securities exchange. It likewise reveals the future market conduct which dependably encourages the speculators to comprehend when and what stocks can be obtained for the development of their venture. For this reasons, a considerable lot of the explores have been done as such far in the territory of investigating the financial exchange utilizing information mining
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页码：64 / 68
页数：5
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