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|Title:||Neural network approach to seismic signal analysis|
|Authors:||Wei, Foo Say |
Yee, Lin Ming
|Source:||Wei, Foo Say,Yee, Lin Ming (1994). Neural network approach to seismic signal analysis. Singapore ICCS - Conference Proceedings 1 : 215-219. ScholarBank@NUS Repository.|
|Abstract:||This paper summarizes the preliminary findings of a Neural Network approach to automatic classification of moving objects based on seismic signals detected through a geophone. Four types of moving objects were considered: human beings, motorycles, cars and buses. A 32-16-4 network structure was used and the data was preprocessed before neural analysis. The results reveal 92% accuracy in classifying human beings from vehicles. However, only 74% accuracy was achieved in classifying the four different types of moving objects.|
|Source Title:||Singapore ICCS - Conference Proceedings|
|Appears in Collections:||Staff Publications|
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