Application on Automatic Chemical Detection Technique Based on NN

Abstract:

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Take example for the Neural Networks Distinguishing Chemical Agents (NNDCA) model, the study and application about the multi-sensors information fusion (MSIF) technology is researched, the model of Naval Ships Chemical Detection (NSCD) system based on multi-sensors fusion is built, the basic method of the NNDCA is analyzed, and the realization idea of the NNDCA model is put forward. For fastness and accuracy and automation, connecting the wavelet analysis with the neural networks organically, the model of the NNDCA by the returning neural networks with deviation unit and the method of the feature extraction for the chemical agents based on the wavelet analysis are established. After analyzing and discussing the results a conclusion is drawn that it is a kind of valid method to realize the automation and intelligence of distinguishing chemical agents using the neural networks combined with the multi-sensors.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

1515-1520

DOI:

10.4028/www.scientific.net/AMR.108-111.1515

Citation:

M. H. Zhang et al., "Application on Automatic Chemical Detection Technique Based on NN ", Advanced Materials Research, Vols. 108-111, pp. 1515-1520, 2010

Online since:

May 2010

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Price:

$35.00

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