基于神经网络技术的实验器材保障应用研究  

Laboratory equipment support based on ANN

作　　者：黄启来[1] 汲万峰[1] 赵明[1] 

机构地区：[1]海军航空工程学院军事教育训练系,山东烟台264001

出　　处：《实验技术与管理》2014年第7期235-236,240,共3页Experimental Technology and Management

摘　　要：实验器材是实验教学的基础和保障,是关系到学科建设发展和提高教学科研水平的重要问题。对实验器材的需求进行预测,是科学筹划实验器材保障工作的基础。文章分析了实验器材需求影响因素,利用神经网络技术对实验室器材的需求量进行预测,实现实验器材购置和配备的科学性、合理性。根据仿真实验数据的结果与分析,可以得出结论:采用神经网络法来进行实验器材的需求预测所得到的结果符合实际情况。The laboratory equipment is the foundation and guarantee of the experimental teaching ,in connection with constructing and developing of the discipline , also in connection with advanced research level . The laboratory equipment demand forecasting is the basis of scientific planning for the laboratory equipment .This paper uses ANN to foresast the demand of the laboratory equipment in order to achieve purchase and prepare scientifically and rationally .According to the simulation results with experimental data analysis ,a conclusion can be drawn that the results of demand forecasting for the laboratory equipment using the neural network method are consistent with the actual situation .

关 键 词：神经网络 实验室管理 实验器材 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]