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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| Format: | Final Year Project |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/45749 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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