基于自组织神经网络的实时统计特征抽取方法

Extracting Real Time Statistical Feature Based on Self Organizing Neural Network

应用人工神经网络讨论了统计特征抽取的原理，提出了相应的抽取方法。该方法具有实时性、容错性、高数据压缩率和良好的特征分辨率。

This paper presents the discussion on the principle of statistical feature extraction,and a method of statistical feature extraction using artificial neural network.This method has some characteristics such as real time,robustness,high data compression and good feature resolution.This technique can be widely used for computer simulation and force calculation of stayed cables.