Forex rate Prediction using AdaRNN- A Deep learning technique and comparison with conventional cconometric and ML Model (Record no. 16208)

MARC details
000 -LEADER
fixed length control field 00637nam a2200181Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240402s9999 xx 000 0 und d
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.233
Item number K963F
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kumar, Narendra
9 (RLIN) 42522
245 ## - TITLE STATEMENT
Title Forex rate Prediction using AdaRNN- A Deep learning technique and comparison with conventional cconometric and ML Model
Statement of responsibility, etc. by Narendra Kumar
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. IIT Jodhpur
Name of publisher, distributor, etc. Department of Mathematics
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent iv;23p.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element AdaRNN
9 (RLIN) 42523
Topical term or geographic name entry element Department of Mathematics
9 (RLIN) 42524
Topical term or geographic name entry element MTech Theses
9 (RLIN) 42525
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Aggarwal, Manish
9 (RLIN) 42526
Personal name Hazra Nil Kamal
9 (RLIN) 42527
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2024-04-03   519.233 K963F TM00348 2024-04-03 2024-04-03 Thesis