Research of Automotive Glass Fog System Based on RBF Neural Network

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By describing a danger from driving vehicles with fog on windshield, we give a concept of a new type of automatic windshield defogging system applying traditional sensor and RBF neural networks. In terms of an analysis on the source of fogging on automatic windshield, applying traditional sensor, we design a RBF neural networks. Then, via RBF neural networks mode, training and testing 48 series of data from an experiment. A result of MATLAB software demonstrates that this new system defog from automatic windshield swiftly and precisely by applying RBF neural networks.

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim

Pages:

1441-1445

Citation:

L. Zhang, "Research of Automotive Glass Fog System Based on RBF Neural Network", Advanced Materials Research, Vols. 588-589, pp. 1441-1445, 2012

Online since:

November 2012

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$41.00

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