Bankruptcy prediction through soft computing based deep learning technique
Saved in:
Main Authors: | , |
---|---|
Language: | English |
Subjects: | |
Online Access: | Link to e-book |
Physical Description: | 1 online resource (xvii, 102 pages) : illustrations |
Bibliography: | Includes bibliographical references. |
Published: |
Singapore :
Springer,
2017.
|
ISBN: | 9789811066832 9811066833 |
LEADER | 02819cam a2200553Ii 4500 | ||
---|---|---|---|
001 | mig00001600039 | ||
006 | m o d | ||
007 | cr cnu|||unuuu | ||
008 | 171208s2017 si a ob 000 0 eng d | ||
005 | 20220119182255.8 | ||
019 | |a 1015829504 |a 1015923996 |a 1021187666 | ||
020 | |a 9789811066832 |q (electronic bk.) | ||
020 | |a 9811066833 |q (electronic bk.) | ||
020 | |z 9789811066825 |q (print) | ||
020 | |z 9811066825 | ||
024 | 7 | |a 10.1007/978-981-10-6683-2 |2 doi | |
035 | |a (OCoLC)on1014331355 | ||
035 | |a 933712 | ||
035 | 0 | 0 | |a 933712 |
035 | |a mig00001600039 | ||
040 | |a GW5XE |b eng |e rda |e pn |c GW5XE |d N$T |d EBLCP |d YDX |d UAB |d AZU |d UPM |d IOG |d MERER |d COO |d OCLCQ |d U3W | ||
049 | |a VZSA | ||
050 | 4 | |a HG3761 | |
066 | |c Hani | ||
082 | 0 | 4 | |a 332.7/5 |2 23 |
100 | 1 | |a Chaudhuri, Arindam, |e author. | |
245 | 1 | 0 | |a Bankruptcy prediction through soft computing based deep learning technique |h [electronic resource] / |c Arindam Chaudhuri, Soumya K Ghosh. |
264 | 1 | |a Singapore : |b Springer, |c 2017. | |
300 | |a 1 online resource (xvii, 102 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
504 | |a Includes bibliographical references. | ||
588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed December 7, 2017). | |
505 | 0 | |6 880-01 |a Introduction -- Need of this Research -- Literature Review -- Bankruptcy Prediction Methodology -- Need for Risk Classification -- Experimental Framework: Bankruptcy Prediction using Soft Computing based Deep Learning Technique.- Datasets Used -- Experimental Results -- Conclusion. | |
596 | |a Springer 2017 eBook collection | ||
597 | |a Individual chapters in PDF format. | ||
650 | 0 | |a Bankruptcy |x Forecasting |x Data processing. | |
650 | 0 | |a Soft computing. | |
650 | 0 | |a Machine learning. | |
700 | 1 | |a Ghosh, Soumya K., |e author. | |
776 | 0 | 8 | |i Print version: |a Chaudhuri, Arindam. |t Bankruptcy prediction through soft computing based deep learning technique. |d Singapore : Springer, 2017 |z 9811066825 |z 9789811066825 |w (OCoLC)1001975061 |
856 | 4 | 0 | |u https://lib-proxy01.skidmore.edu/login?url=http://link.springer.com/10.1007/978-981-10-6683-2 |z Link to e-book |t 0 |
880 | 0 | |6 505-01/Hani |a Introduction -- Need of this Research -- Literature Review -- Bankruptcy Prediction Methodology -- Need for Risk Classification -- Experimental Framework: Bankruptcy Prediction using Soft Computing based Deep Learning Technique.-䡴tasets Used -- Experimental Results -- Conclusion#xE000. | |
949 | |a Springer e-book | ||
994 | |a 92 |b VZS | ||
999 | f | f | |s c8435f0b-367f-41dc-8267-5edf1d8d586c |i 54986c63-a38a-4c5b-ba2c-cf74873315ec |t 0 |
952 | f | f | |t 1 |e HG3761 |h Library of Congress classification |