Title :
Real-Time Automatic Evaluation Technology in Vehicle Road Test System Based on Neural Network
Author :
Yefu Wu ; Bo, Li ; Chaozhong Wu ; Shigang Pan ; Hui, Shen
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Abstract :
With the development of computer, sensors, artificial intelligence technology, network, advanced automotive technology, the vehicle road test by a automatic evaluation system from the traditional manual evaluation has become an irresistible trend. Currently, the research of intelligent test system for vehicle road test in China has just started. Automatic evaluation module is core component of the system. In this study, according to the theory and technology of artificial neural network and the characteristics and requirements of the vehicle road test system, we introduce the one-way transmission of multi-layer neural network structure to the automatic evaluation module, discuss the principle, structure, transfer function and specific implementation of the application. Finally the proposed model was applicated in the vehicle road test system.
Keywords :
multilayer perceptrons; real-time systems; roads; traffic engineering computing; transfer functions; China; advanced automotive technology; artificial intelligence technology; automatic evaluation system; intelligent test system; multilayer neural network structure; real-time automatic evaluation technology; transfer function; vehicle road test system; Artificial intelligence; Educational institutions; Neurons; Roads; Transfer functions; Vectors; Vehicles; Artificial Intelligence; Automatic Evaluation; Neural Network; Vehicle Road Test System;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
Conference_Location :
Wuxi
Print_ISBN :
978-1-4577-0327-0
DOI :
10.1109/DCABES.2011.73