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Title: Determination of brake force using artificial neural network
Authors: Koca, Atilla
Bayrakçeken, Hüseyin
Altiparmak, Duran
Keywords: Artificial neural network;Brake force
Issue Date: Jun-2007
Publisher: CSIR
Abstract: Brakeforcesfordifferentconditionshavebeenusedtocreateanartificialneuralnetwork(ANN) model. Amathematical formulation is obtained by considering effective factors of brake force (slip, tread depth, road surface, turn angle, tread profile, tire pressure and Toe of the wheel). There is a good agreement between experimental data and ANN model. The best approach with minimum errors is performed using LM algorithm with 4 neurons on hidden layers. Statistical coefficient of multiple determinations (R² value) is obtained as 0,999699 for training data and 0,999178 for testing data.
Page(s): 425-430
ISSN: 0022-4456
Appears in Collections:JSIR Vol.66(06) [June 2007]

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