基于神经网络的国产仪器主观验评指标体系的方法研究

Research on the Method of Subjective Assessment Index System of Domestic Instrument Based on Neural Network

完善的验评体系是国产仪器验评工作的基石。在验证评价体系中,主观验评可以为国产仪器制造企业寻找产品在用户体验方面的不足,确定改进方向。本文针对如何完善国产仪器主观验评指标体系展开相关研究,详细阐述了一种基于神经网络的国产仪器主观验评指标体系的实现方式。提出了一种利用神经网络建模,通过大量数据训练来校正主观验评指标数据的方法,使得主观验评的指标数据更具有科学性。

The perfect evaluation system is the cornerstone of the domestic equipment evaluation work.In the verifcation and evalu-ation system,the subjective assessment can find the lack of user experience for the domestic equipment manufacturing enterprise and determine the improvement direction.This article focuses on how to improve the subjective evaluation index system of domestically-made instruments and elaborates on the realization of a subjective assessment index system based on neural network.A method of using neural network modeling to correct subjective assessment index data through massive data training is proposed,making the subjective assessment index data more scientific.