An FPGA Based TCM Fingerprint Similarity Analyzer

Author

Shen, Jinhui ; Gong, Zixia ; Song, Juan ; Zhu, Yuelian ; Yang, Fang

Author_Institution

Biochem. Eng. Coll., Beijing Union Univ., Beijing, China

Volume

2

fYear

2010

fDate

16-17 Dec. 2010

Firstpage

281

Lastpage

284

Abstract

The TCM (traditional Chinese medicine) fingerprint is a whole express way to show its complicated chemical composition. It is a generally-accepted analysis method of medicine quality. An analysis algorithm of TCM fingerprint and its FPGA (Field programmable gate array) circuit method was discussed in the article. The method is based on Combined GA training BP-NN. With high-speed operation and Parallel Computing, the system is implemented successfully with FPGA which can use in field control. The result proves that this is an efficient and superior method which can be used in medicine´s signal processing.

Keywords

backpropagation; chemical analysis; field programmable gate arrays; genetic algorithms; medicine; neural nets; parallel architectures; quality control; FPGA based TCM fingerprint similarity analyzer; FPGA circuit method; GA training BP-NN; backpropagation; chemical composition; field programmable gate array; medicine quality analysis method; medicines signal processing; neural networks; parallel computing; traditional Chinese medicine; Algorithm design and analysis; Biomedical imaging; Field programmable gate arrays; Fingerprint recognition; Fingers; Gallium; Training; BP neural network; FPGA; Genetic algorithm; TCM Fingerprint;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (GCIS), 2010 Second WRI Global Congress on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9247-3

Type

conf

DOI

10.1109/GCIS.2010.37

Filename

5709268