The electrical conductivity model of the crust of northeastern Qinghai-Tibet is obtained from inverting TE and TM mode responses simultaneously using non-linear conjugate gradient ( NLCG ) algorithm. 通过对青藏高原东北部地区的大地电磁测深数据进行分析、处理,用非线性共轭梯度(NCG)算法(NLCG)进行二维TE、TM模式联合反演,得到研究地区的地壳电性结构特征。
A non-linear correction method for humidity sensor non-linearity based on the conjugate gradient algorithm for neural network is presented. The results showed that the humidity sensor with a proper neural network correction can provide a high linear over a wide range. 提出一种神经网络共轭梯度算法对湿度传感器非线性特性进行修正的方法,结果表明,修正后的湿度传感器能在较宽的测量范围内输出高线性度的信号。