Shen Jinhui, Cao Hui, Ma Dongping
Biochemical Engineer College, Beijing Union University, Beijing 100023, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Oct;27(5):1011-5.
The chromatographic fingerprint of traditional Chinese medicine is a way of comprehensive expression to show its complicated chemical composition. It is a generally-accepted method for analyzing the quality of traditional Chinese medicines. In this article, we address an analysis algorithm of traditional Chinese medicines fingerprint and its FPGA circuit method. With the use of a method based on combined GA training BP-NN, and by virtue of high-speed operation and parallel computing, the system is implemented successfully with FPGA which can be used in field control. The result shows that this is an efficient and superior method for use in the process of preparing raw Chinese medicines.
中药色谱指纹图谱是展示其复杂化学成分的一种综合表达方式。它是一种被广泛认可的中药质量分析方法。在本文中，我们探讨了一种中药指纹图谱分析算法及其FPGA电路方法。通过使用基于遗传算法（GA）训练的BP神经网络的方法，并借助高速运算和并行计算，该系统成功地在FPGA上实现，可用于现场控制。结果表明，这是一种在中药原料制备过程中高效且优越的方法。
