Type of Material: | Thesis |
Title: | A novel approach to forecast financial time series using PO-ELM |
Researcher: | Rao, Peketi Syamala |
Guide: | Varma, Pardha Saradhi |
Department: | Department of Computer of Science and Engineering |
Publisher: | Acharya Nagarjuna University, Guntur |
Place: | Guntur |
Year: | 2023 |
Language: | English |
Subject: | Forecast financial | Computer Science and Applications | Engineering and Technology |
Dissertation/Thesis Note: | PhD; Department of Computer of Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2023 |
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040 | __ | |aNGJN_522510|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aRao, Peketi Syamala|eResearcher |
110 | __ | |aDepartment of Computer of Science and Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein|0U-0003 |
245 | __ | |aA novel approach to forecast financial time series using PO-ELM |
260 | __ | |bAcharya Nagarjuna University, Guntur|c2023|aGuntur |
502 | __ | |bPhD|cDepartment of Computer of Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur|d2023 |
518 | __ | |oDate of Notification|d2023-06-07 |
650 | __ | |aComputer Science and Applications|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
653 | __ | |aForecast financial |
700 | __ | |aVarma, Pardha Saradhi|eGuide |
905 | __ | |anotification |
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