| Type of Material: | Thesis |
| Title: | Future Stock Prediction Using Pattern Multilayer Recurrent ANN Backtrack Solver |
| Researcher: | Sundar, G |
| Guide: | Satyanarayana, K |
| Department: | Department of Computer Application |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2022 |
| Language: | English |
| Subject: | Computer Science | Computer Science Interdisciplinary Applications | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2022; D14CA508 |
| Fulltext: | Shodhganga |
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| 001 | 455121 | |
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| 005 | 2024-09-23 15:13:05 | |
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| 035 | __ | |a(IN-AhILN)th_455121 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSundar, G|eResearcher |
| 110 | __ | |aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aFuture Stock Prediction Using Pattern Multilayer Recurrent ANN Backtrack Solver |
| 260 | __ | |bBharath University, Chennai|aChennai|c2022 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Computer Application, Bharath University, Chennai, Chennai|d2022|oD14CA508 |
| 520 | __ | |aStock price prediction is always a most challenging task. Stock price prediction helps in identifying the decision before investing on different companies. In nature, stock market is multidimensional. Stock market price prediction is necessary for getting profit and investment of companies. The various attributes related in change of market price values are economic, political, and human. Many intelligent networks are available to predict the price. Still there is a need a for new prediction to optimize the stock index price. Artificial Neural Network (ANN) has been applied in many different domains with success. ANN generalized and applied in learned base of example. ANN helps the better prediction to forecast the closing stock price. Neural network offers the capacity to determine the outlines in market prediction. ANN prediction clears the stock price forecasting challenge by forming the training set. ANN techniques are used to form the prediction of different variables. ANN is one of the best techniques |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Interdisciplinary Applications |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aSatyanarayana, K|eGuide |
| 856 | __ | |yShodhganga|uhttp://shodhganga.inflibnet.ac.in/handle/10603/397758 |
| 905 | __ | |afromsg |
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