Modelling of the state of consciousness during G-force loading using neural network

Modelling of the state of consciousness during G-force loading using neural network

G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering an...

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Main Author: Kam, Iris Sok Yee
Other Authors: School of Mechanical and Aerospace Engineering
Format: Final Year Project
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Aeronautical engineering::Accidents and air safety
Online Access:http://hdl.handle.net/10356/45749
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-45749
record_format dspace
spelling sg-ntu-dr.10356-457492023-03-04T18:32:03Z Modelling of the state of consciousness during G-force loading using neural network Kam, Iris Sok Yee School of Mechanical and Aerospace Engineering Martin Skote DRNTU::Engineering::Aeronautical engineering::Accidents and air safety G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering and etc. Neural network is therefore appropriate for developing intelligent diagnostic tools for complex situation such as classifying the conscious or unconscious state of mind for the aircraft operator given real time information on variables such as heart beat, blood pressure and so on. Bachelor of Engineering (Mechanical Engineering) 2011-06-16T09:15:36Z 2011-06-16T09:15:36Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45749 en Nanyang Technological University 96 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Aeronautical engineering::Accidents and air safety
spellingShingle DRNTU::Engineering::Aeronautical engineering::Accidents and air safety
Kam, Iris Sok Yee
Modelling of the state of consciousness during G-force loading using neural network
description G-induced loss of consciousness is a major risk for fighter pilots and a very real threat to both the aircraft operator as well as the lost of aircraft itself. Artificial Neural Networks is an excellent classification tool which is capable of fitting function, pattern recognition, data clustering and etc. Neural network is therefore appropriate for developing intelligent diagnostic tools for complex situation such as classifying the conscious or unconscious state of mind for the aircraft operator given real time information on variables such as heart beat, blood pressure and so on.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Kam, Iris Sok Yee
format Final Year Project
author Kam, Iris Sok Yee
author_sort Kam, Iris Sok Yee
title Modelling of the state of consciousness during G-force loading using neural network
title_short Modelling of the state of consciousness during G-force loading using neural network
title_full Modelling of the state of consciousness during G-force loading using neural network
title_fullStr Modelling of the state of consciousness during G-force loading using neural network
title_full_unstemmed Modelling of the state of consciousness during G-force loading using neural network
title_sort modelling of the state of consciousness during g-force loading using neural network
publishDate 2011
url http://hdl.handle.net/10356/45749
_version_ 1759854278255575040

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