Show simple item record

dc.contributor.authorXiao, Feng
dc.contributor.authorYuchi, Ming
dc.contributor.authorDing, Mingyue
dc.contributor.authorJo, Jun Hyung
dc.contributor.editorIEEE
dc.date.accessioned2017-05-16T12:30:43Z
dc.date.available2017-05-16T12:30:43Z
dc.date.issued2011
dc.date.modified2012-05-28T22:15:41Z
dc.identifier.doi10.1109/ICBMI.2011.40
dc.identifier.urihttp://hdl.handle.net/10072/45274
dc.description.abstractHeart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural Network -- Neuroevolution of Augmenting Topologies (NEAT) is used to build a PA-based HR predictor model. Through special coding, crossover and mutation operator, NEAT can implement network topology and connectivity weights evolution simultaneously. The common problem in evolutionary neural network, like competing conventions, how to protect the new innovation are effectively solved. The experimental results demonstrated the application potential of the approach.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherIEEE
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameInternational Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)
dc.relation.ispartofconferencetitle2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)
dc.relation.ispartofdatefrom2011-12-14
dc.relation.ispartofdateto2011-12-17
dc.relation.ispartoflocationWuhan, China
dc.rights.retentionY
dc.subject.fieldofresearchNeurosciences not elsewhere classified
dc.subject.fieldofresearchcode320999
dc.titleA Research of Heart Rate Prediction Model Based on Evolutionary Neural Network
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorJo, Jun


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record