A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
The initial conception of the neural network model for the driving active safety estimation
2018
IOP Conference Series: Materials Science and Engineering
The article describes the prototype neural network diagnostics model application to the driving active safety determination. The neural network fitting performance was used as an diagnostic indicator. The model used the two-layer-feed-forward network, including 10 sigmoid neurons in the hidden layer and linear output layer neurons. The model application example was involved with driving and braking with working ABS and ESP systems on snowy road. The 3axis vehicle body acceleration, the speeds
doi:10.1088/1757-899x/421/3/032007
fatcat:soqowp4vpje67jjhwafrcni6aq