Based on BP-ANNs SMEs of Science and Technology Growth Measure Research

摘要：

Reviewing the growth of SMEs of science and technology research results and on this basis, this paper builds the measure index system and back propagation artificial neural network (BPANN) evaluation model for science and technology SMEs growth of Lanzhou. With 30 companies in local High-tech Industry Park and of university science and Technology Park as the sample, it designs three layers of the BP neural network model of the reasonable parameters in Matlab7.0, then train model using the training sample. Finally input the evaluation of samples to model, to get evaluation distribution of SMEs growth, and examine the conclusion through surveys and observation. According to the results of testing, the enterprises growth distribution is in a normal conditions, general is most, the followed is poor and good. The result is consistent with real data.

关键词： SMEs Science Technology BP-ANN Growth measure

作者: LIN Quanlu LIU Yang

作者单位: School of Economics and Management, Lanzhou University of Technology, Lanzhou, Gansu, P.R. China,730050

会议类型: 国际会议

会议名称: The Eleventh International Symposium--Management Sciences and Engineering(第十一届管理科学与工程国际研讨会)

会议地点: 兰州

会议语种:英文

页码: 345-351

在线出版日期: 2011-11-12（万方平台首次上网日期，不代表论文的发表时间）