Neural Network Pattern Recognition and its Application

Hao Xu; Jin Gang  Lai; Jiao Yu Liu; Neng  Cao; Juan Zhao

doi:10.4028/www.scientific.net/AMR.756-759.2438

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Neural Network Pattern Recognition and its...

Neural Network Pattern Recognition and its Application

Abstract:

many functions are possessed by the neural network such as parallel processing, self-learning and self-adapting. It could approximate any nonlinear function with any precision. A very effective way is provided by the neural network to deal with complex control problems, such as nonlinear, multivariable and uncertain ones etc. Therefore, the neural network is widely used in many aspects: pattern recognition, system identification and control fields and so on.It is developed in the paper about the application of neural networks pattern recognition and system identification. With MATLAB 6.1 and Visual Basic 6.0 design platform and developing tool, for some application instances, implement modeling, simulation and systematic test tasks of the neural networks pattern recognition and system identification. The above research and instances indicate that the neural networks pattern recognition and system identification based on MATLAB have better application prospects.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

2438-2442

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.2438

Citation:

Cite this paper

Online since:

September 2013

Authors:

Hao Xu, Jin Gang Lai, Jiao Yu Liu, Neng Cao, Juan Zhao

Keywords:

Artificial Neural Network (ANN), MATLAB, Pattern Recognition, System Identification

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