2014 World Automation Congress (WAC) 2014
DOI: 10.1109/wac.2014.6936118
|View full text |Cite
|
Sign up to set email alerts
|

Stock market prediction by using artificial neural network

Abstract: A neural networks based model have been used in predicting of the stock market. One of the methods, as an intelligent data mining, is artificial neural network (ANN). In this paper represents how to predict a NASDAQ's stock value using ANNs with a given input parameters of share market. We used real exchange rate value of NASDAQ Stock Market index. This paper makes use generalized feed forward networks. The network was trained using input data of stock market price in between 2012 and 2013. It shows a good per… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
22
0
3

Year Published

2017
2017
2022
2022

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 56 publications
(25 citation statements)
references
References 4 publications
0
22
0
3
Order By: Relevance
“…ANNs are adept at processing massive amounts of information in parallel and have the ability to derive meaning from complicated or imprecise data by recognizing complex patterns and trends. Trained ANNs are able to perform visual recognition [1], character recognition [2], voice-activated assistance [3], stock market forecasting [4], and are used in self-driving cars [5]. Industry pioneers are designing ANNs that can also be used in solar radiation forecasting, object classification and matching, event filtering, facial recognition, combat automation, target identification and weapon optimization [6]- [8].…”
Section: Introductionmentioning
confidence: 99%
“…ANNs are adept at processing massive amounts of information in parallel and have the ability to derive meaning from complicated or imprecise data by recognizing complex patterns and trends. Trained ANNs are able to perform visual recognition [1], character recognition [2], voice-activated assistance [3], stock market forecasting [4], and are used in self-driving cars [5]. Industry pioneers are designing ANNs that can also be used in solar radiation forecasting, object classification and matching, event filtering, facial recognition, combat automation, target identification and weapon optimization [6]- [8].…”
Section: Introductionmentioning
confidence: 99%
“…Paper [9], clearly depicts that these neural networks are inspired by different biological neural networks which provided a platform for integrating intelligent systems. In recent years, profound implementation of neural network has been there to achieve different tasks, e.g., weather forecasting [3], stock market prediction [10], diagnosis of breast cancer [6]. As discussed by the authors of the paper [7], different models have been developed to analyze the data from several diabetic patients.…”
Section: Introductionmentioning
confidence: 99%
“…Many artificial intelligence methods have been employed to predict stock market prices. Artificial neural networks (ANN) remain a popular choice for this task and are widely studied [1] and have been shown to exhibit good performance [2].…”
Section: Introductionmentioning
confidence: 99%