基于BP神经网络配药机器人识别配药用具的研究  

Research on Dispensing Robot Recognize Equipment of Dispensing Based on BP Neural Network

作　　者：孟彩茹[1] 李夏楠[1] 周雁冰[1] 郝忠孝[2] 

机构地区：[1]河北工程大学机电学院,河北邯郸056038 [2]河北工程大学信电学院,河北邯郸056038

出　　处：《煤炭与化工》2014年第2期99-100,103,共3页Coal and Chemical Industry

基　　金：国家自然科学基金(61340047)

摘　　要：BP人工神经网络算法是现今应用较为广泛的多层前向神经网络算法。为了提高配药机器人的配药准确率和安全性,提出了将BP人工神经网络应用于配药机器人对配药用具的识别的方法,并用Matlab模拟神经网络进行图像识别,为配药机器人识别图像提供依据和理论意义。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.

关 键 词：配药用具 BP神经网络 图像识别 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]