Research on Risk Control Model of Cooperatively Technical Innovation based on Wavelet and Nerve Network

Changhui Yang
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引用次数: 6

Abstract

Innovation is the impetus and source of enterprise development, and the cooperatively technical innovation is become a main innovation method. It is necessary to take measure to prevent and indemnify the loss that the risk may bring. Because of the existence of the complex non-linear function mechanism between the risk factors, so the non-linear method can be used to research the keeping way and controlling mechanism of cooperatively technical innovation. At first, this paper analyzed the seeking method of enterprise cooperatively technical innovation risk, and the steps of seeking risks are presented. And then the concept of controlling risk regulation gradient is put forward, and the method of calculating risk regulation gradient is expatiated in detail. The nerve network is suitable for recognizing and simulating nonlinear system, and the wavelet transformation or the decomposition displays the good time frequency localization characteristic and the multi-criteria function, therefore the wavelet nerve network based on the wavelet decomposition and the nerve network has the good fault-tolerant ability and the non-linearity approaching performance. And based on this, a complete controlling risk model of cooperatively technical innovation is brought forward, and the algorithm of risk control model is discussed.
基于小波和神经网络的协同技术创新风险控制模型研究
创新是企业发展的动力和源泉,合作技术创新已成为企业发展的主要创新方式。有必要采取措施预防和赔偿风险可能带来的损失。由于风险因素之间存在着复杂的非线性作用机制,因此可以采用非线性方法研究合作技术创新的保持方式和控制机制。本文首先分析了企业合作技术创新风险的寻踪方法,提出了企业合作技术创新风险寻踪的步骤。然后提出了控制风险调节梯度的概念,并详细阐述了风险调节梯度的计算方法。神经网络适合于识别和模拟非线性系统,而小波变换或分解具有良好的时频局部化特性和多准则函数,因此基于小波分解和神经网络的小波神经网络具有良好的容错能力和非线性逼近性能。在此基础上,提出了一个完整的合作技术创新风险控制模型,并讨论了风险控制模型的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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