2013
DOI: 10.1007/s12205-013-0036-3
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Application of Adaptive Neuro-fuzzy Inference System for road accident prediction

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Cited by 19 publications
(14 citation statements)
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References 41 publications
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“…Finally, the fifth layer includes the output node which states the final value of the output as the sum of the outputs of previous layer nodes. ANFIS learning algorithm is a hybrid learning algorithm and includes both gradient descent algorithm for updating nonlinear parameters of the network and recursive least square algorithm for adjusting network weights (Jang, 1993;Hosseinpour et al, 2013;Abdulshahed et al, 2015).…”
Section: Anfis Modelmentioning
confidence: 99%
“…Finally, the fifth layer includes the output node which states the final value of the output as the sum of the outputs of previous layer nodes. ANFIS learning algorithm is a hybrid learning algorithm and includes both gradient descent algorithm for updating nonlinear parameters of the network and recursive least square algorithm for adjusting network weights (Jang, 1993;Hosseinpour et al, 2013;Abdulshahed et al, 2015).…”
Section: Anfis Modelmentioning
confidence: 99%
“…Some researchers presented hybrid models involving a combination of the ANN and fuzzy techniques (Polat, and Durduran, 2012;Hosseinpour et al, 2013). Still other hybrid models of traffic accidents were also developed.…”
Section: Transportation Engineering Institute Of Minjiang Universitymentioning
confidence: 99%
“…A weaving maneuver performed by drivers is normally depending on their own purpose. However, inefficiencies of driver when perform weaving will finally lead to risk of accident and also confusing maneuver [3,4]. A weaving maneuver could be detected by the driver on direct traffic when the weaving's driver gives signal to change lane.…”
Section: Introductionmentioning
confidence: 99%