| 000 -LEADER |
|---|
| fixed length control field |
a |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240203144300.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240203b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
22873 |
| Author |
Das, Soumya |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Improving time series prediction with deep belief network |
| 250 ## - EDITION STATEMENT |
|---|
| Volume, Issue number |
Vol.104(5), Oct |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
USA |
| Name of publisher, distributor, etc. |
Springer |
| Year |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Pagination |
1103-1118p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
In this paper, the time series data prediction is done using Deep Belief Network (DBN). The time series data chosen are stock price data, exchange rate data, and electricity consumption data. DBN predicts these three datasets. Particle Swarm Optimization and Local Linear Wavelet Neural Network are also used for prediction of these three datasets. The Root Mean Square Error and Mean Absolute Percentage Error parameters are used to validate the performance of the algorithm. DBNs are more efficient than other machine learning algorithms because they generate less error. They are fault tolerant and use parallel processing. They avoid over fitting and increase the model generalization. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
4642 |
| Topical term or geographic name entry element |
Humanities and Applied Sciences |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
22874 |
| Co-Author |
Nayak, Monalisa |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Journal of the institution of engineers (India): Series B |
| International Standard Serial Number |
2250-2106 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| URL |
https://link.springer.com/article/10.1007/s40031-023-00912-0 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Articles Abstract Database |
