An in depth analysis of neural network with application in finance
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
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| Формат: | Диссертация |
| Язык: | English |
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BRAC University
2019
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| Online-ссылка: | http://hdl.handle.net/10361/12281 |
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10361-122812022-01-26T10:13:18Z An in depth analysis of neural network with application in finance Tasnim, Noshin Yasmeen, Farhana Majumdar, Mahbub Alam Department of Computer Science and Engineering, Brac University Neural network Stock market Prediction Deep layer Hidden layer Neural network. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 71-72). Arti cial neural network model is inspired from how the nervous system of brain works. If it is designed properly it can process large amount of data or information and can give proper output for di erent application like pattern recognition, forecasting disease or nancial data etc. In recent years Arti cial neural network has been a great choice to analyze nancial time series data as they are quite capable of learning the relationships among di erent features of data. As the world's economy is continuously changing, there is a need for keep an eye on the dynamic conditions of economy. Therefore, nancial institutions and investors always wants a reliable system to monitor the data relationship so that they can simulate and predict - nancial positions on the basis of market trends in order to nd where should they invest. But because of the high volatility and high non linearity it has been quite a challenge to predict the nancial stock market. In this paper we attempt to study neural network and how they are actually useful in predicting stock market and nally we are going to use di erent model of ANN to predict the stock price of Amazon and SP 500 index. We will analyze the capability of neural net to cope with the nonlinear and chaotic patterns of data and their ability to predict. Noshin Tasnim Farhana Yasmeen B. Computer Science and Engineering 2019-07-01T06:31:05Z 2019-07-01T06:31:05Z 2019 2019-04 Thesis ID 15301004 ID 15301024 http://hdl.handle.net/10361/12281 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 72 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Neural network Stock market Prediction Deep layer Hidden layer Neural network. |
| spellingShingle |
Neural network Stock market Prediction Deep layer Hidden layer Neural network. Tasnim, Noshin Yasmeen, Farhana An in depth analysis of neural network with application in finance |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Majumdar, Mahbub Alam |
| author_facet |
Majumdar, Mahbub Alam Tasnim, Noshin Yasmeen, Farhana |
| format |
Thesis |
| author |
Tasnim, Noshin Yasmeen, Farhana |
| author_sort |
Tasnim, Noshin |
| title |
An in depth analysis of neural network with application in finance |
| title_short |
An in depth analysis of neural network with application in finance |
| title_full |
An in depth analysis of neural network with application in finance |
| title_fullStr |
An in depth analysis of neural network with application in finance |
| title_full_unstemmed |
An in depth analysis of neural network with application in finance |
| title_sort |
in depth analysis of neural network with application in finance |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12281 |
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