The BP network architecture applied to determine GPS standalone position is designed. Meanwhile, the conjugate gradient algorithm is used to improve the training velocity and accuracy of the network.
本研究设计了适用于GPS单点定位计算的BP人工神经网络模型结构，采用共轭梯度算法改善网络的训练速度和精度。
Based on the analysis of basic principle of electrical capacitance tomography and the image reconstruction algorithm, a conjugate gradient algorithm with optimized regularization is proposed.
在分析电容层析成像基本原理和图像重建算法的基础上，提出一种结合正则化优化修正的共轭梯度算法。
Based on the constrained conjugate gradient algorithm, a regularization preconditioned constrained conjugate gradient algorithm (RPCCG) was proposed for image-reconstruction for radiography.
针对闪光照相系统成像信噪比低的特点，提出了正则化预优约束共轭梯度算法(RPCCG)。
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