Neural Network Training on Human Body Core Temperature Data

Abstract

A multi-layer Adaptive Linear Element neural network computer program was trained with back-propagation on physiological response data from nine subjects walking on a treadmill in two simulated tropical environments. The 100 minute end-point body core temperatures calculated were compared to the measured responses. It was found that although correlation was low and simultaneous high specificity and sensitivity were not displayed, the results were comparable to the predictions from an established human thermal response prediction programme for these subjects. It is concluded that the neural network modelling technique has merit in this field and should be explored further as more data become available.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA373812

Entities

People

  • Peter Sanders
  • Wai M. Lau

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Computers
  • Employment
  • Environment
  • Experimental Data
  • Human Body
  • Information Science
  • Military Operations
  • Military Personnel
  • Neural Networks
  • Personnel Management
  • Regression Analysis
  • Simulations
  • Statistical Analysis
  • Thermal Stresses
  • Training

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks