技术创新投融资风险状态的识别研究  

A Research on the Technical Innovation Financing Risk Status Identification

作　　者：黄福宁[1] 

机构地区：[1]同济大学经济与管理学院,上海200092

出　　处：《科学管理研究》2009年第4期100-103,共4页Scientific Management Research

基　　金：国家自然科学基金项目(70673068);上海市科委上海研发公共服务平台建设专项课题(06DZ22924);上海市科技发展基金软科学研究项目(066921084)

摘　　要：对技术创新投融资风险进行评价不仅可直接识别风险状态,同时还可积极发现有潜力的技术创新投资机会,并对技术创新的成功运作在资金保障方面产生推力,提高技术创新成功率。在建立系列技术创新投融资风险指标体系基础上,利用前馈反向传播神经网络进行了评价模型的训练,经过样本内和样本外检验后,结论认为评价模型性状良好,可用来对其他案例进行状态识别。To evaluate the status of tech-innovations financing risk can not only help the investors to identify the risk directly, but also can help the investors to find more potential investing chances. Through the evaluation, the investors can get more information about the tech-innovations themselves, the process of the tech-innovations can be prompted greatly. This paper uses Feedforward Backpropagation Neural Networks to establish a status identification model based on any theoretical indicators. After the tests of in-sample and out-of-sample, it confirms that the model performed well enough to be used to evaluate other cases.

关 键 词：技术创新 投融资风险 神经网络 

分 类 号：F830.57[经济管理—金融学]