MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02884nam a22005295i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
TR-AnTOB |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231121103132.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210724s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030758479 |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1007/978-3-030-75847-9 |
| Source of number or code |
doi |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
TR-AnTOB |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
TR-AnTOB |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
İngilizce |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
TGP |
| Source |
bicssc |
|
|---|
| Subject category code |
TEC009060 |
| Source |
bisacsh |
|
|---|
| Subject category code |
TGP |
| Source |
thema |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TA347.A78EBK |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine Learning in Industry |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
edited by Shubhabrata Datta, J. Paulo Davim. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2022. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham : |
| Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
| -- |
Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Management and Industrial Engineering, |
| International Standard Serial Number |
2365-0540 |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Fundamentals of Machine learning -- Neural network model identification studies to predict residual stress of a steel plate based on a non-destructive Barkhausen noise measurement -- Data Driven Optimization of Blast Furnace Iron Making Process Using Evolutionary Deep Learning -- A brief appraisal of machine learning in industrial sensing probes -- Mining the genesis of sliver defects through Rough and Fuzzy Set Theories. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Industrial engineering. |
|
|---|
| Topical term or geographic name entry element |
Production engineering. |
|
|---|
| Topical term or geographic name entry element |
Machine learning. |
|
|---|
| Topical term or geographic name entry element |
Industrial and Production Engineering. |
|
|---|
| Topical term or geographic name entry element |
Machine Learning. |
| 653 #0 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Artificial intelligence -- Industrial applications |
|
|---|
| Uncontrolled term |
Machine learning |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Datta, Shubhabrata. |
| Relator term |
editor. |
| Authority record control number or standard number |
(orcid)0000-0002-7716-9205 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
|
|---|
| Personal name |
Davim, J. Paulo. |
| Relator term |
editor. |
| Authority record control number or standard number |
(orcid)0000-0002-5659-3111 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Management and Industrial Engineering, |
| International Standard Serial Number |
2365-0540 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-030-75847-9">https://doi.org/10.1007/978-3-030-75847-9</a> |
| Materials specified |
Springer eBooks |
| Public note |
Online access link to the resource |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
E-Book |
