Extended Traffic Crash Modelling through Precision and Response Time Using Fuzzy Clustering Algorithms Compared with Multi-layer Perceptron
This paper compares two fuzzy clustering algorithms – fuzzy subtractive clustering and fuzzy C-means clustering – to a multi-layer perceptron neural network for their ability to predict the severity of crash injuries and to estimate the response time on the traffic crash data. Four clustering algori...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2012-11-01
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| Series: | Promet (Zagreb) |
| Subjects: | |
| Online Access: | http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1197 |