Design of adaptive neural predictor for failure analysis on hip and knee joints of humans


YILDIRIM Ş., ESKİ I., POLAT Y.

NEURAL COMPUTING & APPLICATIONS, vol.23, no.1, pp.73-87, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 1
  • Publication Date: 2013
  • Doi Number: 10.1007/s00521-012-1211-z
  • Journal Name: NEURAL COMPUTING & APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.73-87
  • Erciyes University Affiliated: Yes

Abstract

Due to recent heart attacks on humans; it is necessary to predict heart graphs of humans; during running positions. On the other hand hip and knee joints should be analysed to predict walking and running conditions. Therefore; in this experimental works; hip, knee and heart attacks are analysed in experimentally. After experimental measurement; a proposed neural network is employed to predict; hip, knee and heart attack behaviour of humans with walking and running stages.

Due to recent heart attacks on humans, it is necessary to predict heart graphs of humans during running positions. On the other hand, hip and knee joints should be analyzed to predict walking and running conditions. Therefore, in this experimental works, hip, knee, and heart attacks are analyzed in experimentally. After experimental measurement, a proposed neural network is employed to predict hip, knee, and heart attack behavior of humans with walking and running stages.