A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
The Research of Improved BP Neural Network in Automobile Sensor Fault Diagnosis
International Journal of Control and Automation
Fault control diagnosis object of automobile sensor has the problems of big space dimension of fault sample data and poor real-time capability of fault diagnosis, etc, in order to solve these problems, this text introduces static fuzzy control method to diagnose automobile fault based on BP neural network, first finding fault node by static fuzzy self-learning method and classifying and diagnosing intelligently by BP network. Experiments show that method in this paper improves the accuracy ofdoi:10.14257/ijca.2016.9.7.22 fatcat:cvei5i2iurb3xjc5kg3ut3g54u