铁路科技协同创新与科技资源优化配置方法研究

发布时间：2018-04-25 13:11

本文选题：BP神经网络 + 科技资源　；参考：《铁道学报》2017年10期

【摘要】：铁路科技协同创新与科技资源配置在科技决策中起着至关重要的作用。通过分析影响铁路科技协同创新与科技资源配置的因素,构建铁路科技协同创新与科技资源类目的量化表,采用BP神经网络方法对不同条件下影响铁路科技协同创新与科技资源配置情况进行预测、分析,并对其社会效益和经济效益进行分析。提出在应用型项目领域,实行注册制的项目生成机制,建立以市场和高校为主的团队协作模式,以股份制方式提供资金;在基础性项目领域,建立招投标机制,通过政策引导建立以高校为主的科研协作模式,实行前端成本后端奖励的资助方式;在公益性项目领域,实行注册制的项目生成机制,建立以市场为主的团队协作模式,采用后端奖励模式来提供资金。
[Abstract]:The cooperative innovation of railway science and technology and the allocation of scientific and technological resources play an important role in scientific and technological decision-making. By analyzing the factors that affect the scientific and technological innovation and the allocation of scientific and technological resources, the quantitative table of the categories of railway scientific and technological collaborative innovation and scientific and technological resources is constructed. The BP neural network method is used to predict and analyze the influence of different conditions on the cooperative innovation of railway science and technology and the allocation of scientific and technological resources, and its social and economic benefits are analyzed. In the field of applied projects, it is proposed to implement the project generation mechanism of registration system, to establish a team cooperation mode based on market and university, to provide funds in the form of joint stock system, to establish a bidding mechanism in the field of basic projects, and to set up a mechanism of bidding and bidding in the field of basic projects. Through the policy guidance to establish the scientific research cooperation mode mainly based on colleges and universities, to implement the front end cost and back-end reward funding, to implement the project generation mechanism of registration system in the field of public welfare projects, and to establish a market-oriented team cooperation mode. Use the back-end reward model to provide funding.
【作者单位】：石家庄铁道大学经济管理学院;
【基金】：河北省教育厅人文社会科学研究重大课题攻关项目(ZD201429)
【分类号】：F532

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