TY - GEN
T1 - Estimating Prediction Accuracy of Stock Price Using Artificial Neural Network
AU - Gururaj, H. L.
AU - Lin, Hong
AU - Sunil Kumar, B. R.
AU - Manu, M. N.
AU - Ravi Kumar, V.
N1 - Publisher Copyright:
© 2022 WCSE. All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - Presently, all over the world, an enormous amount of investment is being made to the Stock Markets. Nationwide economic systems are sturdily associated and closely inclined to the achievement 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), which is a subset of Artificial Intelligence (AI), is a way that is anticipated to select out samples (styles) and gain an information model. Significant dispositions of ANN are its capability for precise troubles with step by step analyzing and input-output mapping. The neural network is a superior big approach to categorize anonymous, unnoticed samples in input values that is suitable to be looking for the inventory market. Feed forward neural networks with back propagation schooling algorithms were taken via way of the use of way humans to make predictions.
AB - Presently, all over the world, an enormous amount of investment is being made to the Stock Markets. Nationwide economic systems are sturdily associated and closely inclined to the achievement 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), which is a subset of Artificial Intelligence (AI), is a way that is anticipated to select out samples (styles) and gain an information model. Significant dispositions of ANN are its capability for precise troubles with step by step analyzing and input-output mapping. The neural network is a superior big approach to categorize anonymous, unnoticed samples in input values that is suitable to be looking for the inventory market. Feed forward neural networks with back propagation schooling algorithms were taken via way of the use of way humans to make predictions.
UR - http://www.scopus.com/inward/record.url?scp=85136807259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136807259&partnerID=8YFLogxK
U2 - 10.18178/wcse.2022.06.025
DO - 10.18178/wcse.2022.06.025
M3 - Conference contribution
AN - SCOPUS:85136807259
T3 - 2022 12th International Workshop on Computer Science and Engineering, WCSE 2022
SP - 176
EP - 185
BT - 2022 12th International Workshop on Computer Science and Engineering, WCSE 2022
PB - International Workshop on Computer Science and Engineering (WCSE)
T2 - 2022 12th International Workshop on Computer Science and Engineering, WCSE 2022
Y2 - 24 June 2022 through 27 June 2022
ER -