No Cover Image

Book 978 views

The importance of an adaptive gain variation method in back-propagation neural network learning algorithms

R.S. Ransing, M.R. Ransing, R.W. Lewis, Rajesh Ransing Orcid Logo

Volume: 7

Swansea University Author: Rajesh Ransing Orcid Logo

Published: 2003
Online Access: http://www.scopus.com/inward/record.url?eid=2-s2.0-2942696652&partnerID=MN8TOARS
URI: https://cronfa.swan.ac.uk/Record/cronfa24513
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2015-11-20T01:58:24Z
last_indexed 2018-02-09T05:04:22Z
id cronfa24513
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2015-11-19T09:38:08.7892213</datestamp><bib-version>v2</bib-version><id>24513</id><entry>2015-11-19</entry><title>The importance of an adaptive gain variation method in back-propagation neural network learning algorithms</title><swanseaauthors><author><sid>0136f9a20abec3819b54088d9647c39f</sid><ORCID>0000-0003-4848-4545</ORCID><firstname>Rajesh</firstname><surname>Ransing</surname><name>Rajesh Ransing</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-11-19</date><deptcode>MECH</deptcode><abstract/><type>Book</type><journal/><volume>7</volume><publisher/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2003</publishedYear><publishedDate>2003-12-31</publishedDate><doi/><url>http://www.scopus.com/inward/record.url?eid=2-s2.0-2942696652&amp;amp;partnerID=MN8TOARS</url><notes>@article ransing2003,title = The importance of an adaptive gain variation method in back-propagation neural network learning algorithms,journal = Management Information Systems,year = 2003,volume = 7,pages = 617-624,author = Ransing, R.S. and Ransing, M.R. and Lewis, R.W.</notes><college>COLLEGE NANME</college><department>Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MECH</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2015-11-19T09:38:08.7892213</lastEdited><Created>2015-11-19T09:38:08.7892213</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering</level></path><authors><author><firstname>R.S.</firstname><surname>Ransing</surname><order>1</order></author><author><firstname>M.R.</firstname><surname>Ransing</surname><order>2</order></author><author><firstname>R.W.</firstname><surname>Lewis</surname><order>3</order></author><author><firstname>Rajesh</firstname><surname>Ransing</surname><orcid>0000-0003-4848-4545</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2015-11-19T09:38:08.7892213 v2 24513 2015-11-19 The importance of an adaptive gain variation method in back-propagation neural network learning algorithms 0136f9a20abec3819b54088d9647c39f 0000-0003-4848-4545 Rajesh Ransing Rajesh Ransing true false 2015-11-19 MECH Book 7 31 12 2003 2003-12-31 http://www.scopus.com/inward/record.url?eid=2-s2.0-2942696652&amp;partnerID=MN8TOARS @article ransing2003,title = The importance of an adaptive gain variation method in back-propagation neural network learning algorithms,journal = Management Information Systems,year = 2003,volume = 7,pages = 617-624,author = Ransing, R.S. and Ransing, M.R. and Lewis, R.W. COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2015-11-19T09:38:08.7892213 2015-11-19T09:38:08.7892213 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering R.S. Ransing 1 M.R. Ransing 2 R.W. Lewis 3 Rajesh Ransing 0000-0003-4848-4545 4
title The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
spellingShingle The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
Rajesh Ransing
title_short The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
title_full The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
title_fullStr The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
title_full_unstemmed The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
title_sort The importance of an adaptive gain variation method in back-propagation neural network learning algorithms
author_id_str_mv 0136f9a20abec3819b54088d9647c39f
author_id_fullname_str_mv 0136f9a20abec3819b54088d9647c39f_***_Rajesh Ransing
author Rajesh Ransing
author2 R.S. Ransing
M.R. Ransing
R.W. Lewis
Rajesh Ransing
format Book
container_volume 7
publishDate 2003
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
url http://www.scopus.com/inward/record.url?eid=2-s2.0-2942696652&amp;partnerID=MN8TOARS
document_store_str 0
active_str 0
published_date 2003-12-31T03:29:06Z
_version_ 1763751122522079232
score 11.013731

Similar Items