基于BP神经网络的我国生物医药企业创新能力评价研究
发布时间：2019-05-14 20:34
【摘要】：创新能力对生物医药企业发展至关重要,本文尝试将BP神经网络引入到生物医药上市公司的创新能力评价中,探究BP神经网络在医药产业创新能力评价中是否可行。采用文献阅读法,结合生物医药企业的实际情况,建立生物医药企业创新能力评价指标体系,利用统计学方法构建相应的BP神经网络,将BP网络输出结果与期望输出进行比较。采用已建立的创新能力评价指标体系并利用BP神经网络对生物医药企业的创新能力评价的输出结果与期望输出基本一致。将BP神经网络应用于生物医药企业创新能力评价是可行的,所建立的创新能力评价指标体系基本能够反映生物医药企业创新能力。
[Abstract]:Innovation ability is very important to the development of biomedical enterprises. This paper attempts to introduce BP neural network into the evaluation of innovation ability of listed biomedical companies, and to explore whether BP neural network is feasible in the evaluation of innovation ability of pharmaceutical industry. Based on the literature reading method and the actual situation of biomedical enterprises, the evaluation index system of innovation ability of biomedical enterprises is established, and the corresponding BP neural network is constructed by statistical method. The output results of BP network are compared with the expected output. The output results of innovation ability evaluation of biomedical enterprises are basically consistent with the expected output by using the established innovation ability evaluation index system and BP neural network. It is feasible to apply BP neural network to the evaluation of innovation ability of biomedical enterprises. The index system of innovation ability evaluation can basically reflect the innovation ability of biomedical enterprises.
【作者单位】： 中国药科大学国际医药商学院;
【基金】：江苏省“六大人才”高峰项目(YY-013)
【分类号】：F273.1;F426.72
[Abstract]:Innovation ability is very important to the development of biomedical enterprises. This paper attempts to introduce BP neural network into the evaluation of innovation ability of listed biomedical companies, and to explore whether BP neural network is feasible in the evaluation of innovation ability of pharmaceutical industry. Based on the literature reading method and the actual situation of biomedical enterprises, the evaluation index system of innovation ability of biomedical enterprises is established, and the corresponding BP neural network is constructed by statistical method. The output results of BP network are compared with the expected output. The output results of innovation ability evaluation of biomedical enterprises are basically consistent with the expected output by using the established innovation ability evaluation index system and BP neural network. It is feasible to apply BP neural network to the evaluation of innovation ability of biomedical enterprises. The index system of innovation ability evaluation can basically reflect the innovation ability of biomedical enterprises.
【作者单位】： 中国药科大学国际医药商学院;
【基金】：江苏省“六大人才”高峰项目(YY-013)
【分类号】：F273.1;F426.72
【参考文献】
相关期刊论文 前6条
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2 徐立平;姜向荣;尹，
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