|
|
|
| Research on Dispensing Robot Recognize Equipment of Dispensing Based on BP Neural Network |
| MENG Cai-ru1，LI Xia-nan1，ZHOU Yan-bing1，HAO Zhong-xiao2 |
1. College of Mechanical and Electrical Engineering, Hebei University of Engineering, Handan 056038，China;
2. college of Information & Electronic Engineering,Hebei University of Engineering,Handan 056038，China |
|
|
|
|
Abstract The BP artificial neural network algorithm is widely used as the former multilayer forward neural network algorithm today. In order to improve the accuracy and security of pharmacy by dispensing robots, he proposed that the BP artificial neural network can be applied to the method of pharmaceutical identification of dispensing robots. And he also used neural network MATLAB simulation to recognize image. It provides the basis and theoretical significance for the image recognition of dispensing robots.
|
|
|
|
|
|
| [ 1 ] 冉林晋，董丹丹，徐华华. 临床护理人员在配药过程中手受伤的调查分析[ J ]. 重庆医学，2012，41（34）：3 682 - 3 683.
[ 2 ] 高 隽. 人工神经网络原理及仿真实例第2版[ M ]. 北京：机械工业出版社，2010.
[ 3 ] 汪玉杰，刘智立. 基于BP神经网络对图书借阅量的预测研究 [ J ]. 科技创新与应用，2013，36：25 - 26.
[ 4 ] 雷建锋， 孙俊逸. 基于人工神经网络下的图像识别的研究[ J ]. 现代电子技术， 2008， 31（8）： 127 - 130.
[ 5 ] 卜富清，王茂芝，于庆刚. 基于BP神经网络的数字识别[ J ]. 长江大学学报（自然科学版），2006，6（2）: 293 - 294.
[ 6 ] 石幸利. 人工神经网络的发展及其应用[ J ]. 重庆科技学院学报（自然科学版）， 2006， 8（2）: 99 - 101. |
|
|
|
