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.
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。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Clustering is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.
数据聚类在数据挖掘、模式识别、图像处理和数据压缩等领域有着广泛的应用。
Clustering can analyse the data effectively, which has a wide use in many fields, such as data mining, numerical analysis and pattern recognition.
聚类可以对数据进行有效分析，在数据挖掘、数值分析、模式识别等领域有着非常广泛的应用。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
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