The Modeling And Application Of The Neural Networks Distinguishing Chemical Agents In The Automation Command System Of Chemical Defense

This essay surrounds the building model as well as application of the Neural Networks Distinguishing Chemical Agents(NNDCA) model in the Automation Command System of Chemical Defense(ACSCD), the main contents are listed as follows.-It setts forth the concept and significance of NNDCA. It starts with the domestic and overseas current researching situation of NNDCA and the condition of our corps construction of ACSCD, and discusses the need of ACSCD for NNDCA model from the necessity and viability assessment, the total need analysis, the military tactics and technique index sign requests, the function request, etc.This part introduces relating knowledge of the neural networks and distinguishing chemical agents, the basic method of NNDCA, the mathematics basis of building NNDCA model, the algorithm and database design. It prepares for the application of NNDCA model in ACSCD.The concept and meanings of feature extraction and selection are discussed. It believes parameters for distinguishing are also selected based on two different criteria:the cluster divergence of sample datas and the distinguishing reliability of parameter candidates, which be the foundation for NNDCA. It does chemical agent feature extraction and selectio from analysis base on the chemical agents characteristic and wavelet.This essay analyses the realization of NNDCA including single neural network distinguishing chemical agents. It puts forward to the strategy of the integrated neural networks distinguishing chemical agents and the software composing of NNDCA, carries on simulation of NNDCA.It puts forward the applied speculation of NNDCA model in ACSCD including the applied way of thinking and requesting, the structure designs and applied methods.It dissusses the fusion of the information of NNDCA in ACSCD. It analyses the information process of NNDCA, gives the comprehensive decision procedure and methods to distinguish the category of the chemical agents, and lists the applied example of NNDCA model in ACSCD.This essay points out that NNDCA through the feature extraction and selection base on chemical agents characteristic is fit for aid decision, this method supports the command decision-making subsystem. Our corps of chemical defense do battle with the neural networks combined with chemical sensor, which is a kind of valid method to realize the automation and intelligence in chemical reconnaissance.