Title : A novel approach to forecast financial time series using PO-ELM

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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035__|a(IN-AhILN)th_453413
040__|dIN-AhILN|aNGJN_522510
041__|aeng
100__|eResearcher|aRao, Peketi Syamala
110__|aDepartment of Computer of Science and Engineering|0U-0003|dGuntur|bAcharya Nagarjuna University, Guntur|ein
245__|aA novel approach to forecast financial time series using PO-ELM
260__|aGuntur|c2023|bAcharya Nagarjuna University, Guntur
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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