在金融服务公司里，这些变换和确认过程经常是人工完成的。
In financial service firms, these transformation and validation procedures are often manually intensive.
本文以射影变换下的复比不变性为理论基础，设计了一种可基于形状信息进行视觉识别的灰度人工路标。
Based on invariance of the cross-ratio in projective transformation, this paper designed a gray artificial landmark for vision-based recognition by shape information.
结合小波变换和人工神经网络的优势，建立一种网络流量预测的小波神经网络模型。
Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
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