量子遗传-神经网络算法的润滑油动力粘度值可见近红外光谱分析

刘晨阳^1,², 唐兴佳³, 于涛³, 王泰升¹, 卢振武¹, 鱼卫星^3,^*

Visible and Near Infrared Spectral Analysis of the Lubricating Oil Dynamic Viscosity Based on Quantum Genetic-Neural Network Algorithm

LIU Chen-yang^1,², TANG Xing-jia³, YU Tao³, WANG Tai-sheng¹, LU Zhen-wu¹, YU Wei-xing^3,^*

不同动力粘度润滑油的(a)可见近红外光谱的吸光度和(b)其一阶导数