这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
提出了一种基于特征提取和验证相结合的人脸检测方法。
Based on facial features extraction and verification, we present a new human face detection method.
对加速度进行特征提取，可以使得波形的幅度特征更加明显，有利于进行轨道故障的检测。
The waveforms 'amplitude character will be more distinct through accelerations 'feature extraction, and this is propitious to rail deformation detection.
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