Research of expression recognition base on optimized BP neural network

Author

Zhao Cuijie

Author_Institution

Inf. Sci. & Technol., Tianjin Univ. of Finance & Econ., Tianjin, China

fYear

2009

fDate

21-23 Oct. 2009

Firstpage

1803

Lastpage

1806

Abstract

This paper combined Genetics algorithm with BP neural network, mixed-training neural networks, optimized the classification process. Genetic algorithm optimized BP network structure and parameters, found better search space in the analytic space. Then BP network searched the optimal solution in the small search space. Finally, two experiment results indicate that optimized BP neural network training is a effective method of study expression classification and recognition.

Keywords

backpropagation; emotion recognition; genetic algorithms; neural nets; pattern classification; analytic space; backpropagation; classification process optimization; expression recognition; genetics algorithm; mixed training neural networks optimization; optimized BP Neural Network; search space; Algorithm design and analysis; Biological cells; Character recognition; Convergence; Evolution (biology); Face recognition; Genetic algorithms; Genetic mutations; Neural networks; Optimization methods; BP neural network; facial expression recognition; genetics algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3671-2

Electronic_ISBN

978-1-4244-3672-9

Type

conf

DOI

10.1109/ICIEEM.2009.5344321

Filename

5344321