An image recognition method based on multiple BP neural networks fusion

Author

Ni, Jianjun ; Ma, Xiaoping ; Xu, Lizhong ; Wang, Jianying

Author_Institution

Inf. & Electr. Eng. Coll., China Univ. of Mining & Technol., Xuzhou, China

fYear

2004

fDate

21-25 June 2004

Firstpage

323

Lastpage

326

Abstract

With respect to the limitation of the image recognition method by single BP neural network, a new method based on multiple BP neural networks with D-S theory is proposed. By using this method to synthesize each image recognition result of single BP neural network, we can improve the performance of the image recognition. The results of the computer simulation and experiment show that the new method is effective.

Keywords

backpropagation; belief maintenance; case-based reasoning; image recognition; neural nets; probability; sensor fusion; D-S evidence theory; belief function; computer simulation; image recognition method; multiple BP neural networks fusion; probability assignment; single BP neural network; Computer networks; Computer simulation; Educational institutions; Feedforward neural networks; Image recognition; Image resolution; Multi-layer neural network; Network synthesis; Neural networks; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2004. Proceedings. International Conference on

Print_ISBN

0-7803-8629-9

Type

conf

DOI

10.1109/ICIA.2004.1373380

Filename

1373380

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2206398