An Enhanced Probabilistic Neural Network For Pattern Classification

Pattern classifiers can be applied in a myriad of fields, ranging from machine condition monitoring to weather prediction. A pattern classifier that performs in a non stochastic manner, able to handle missing features and can manage high dimensionality, very much sought after. This is the motivation...

全面介绍

Saved in:
书目详细资料
主要作者: Chang, Roy Kwang Yang
格式: Thesis
出版: 2010
主题:
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结:Pattern classifiers can be applied in a myriad of fields, ranging from machine condition monitoring to weather prediction. A pattern classifier that performs in a non stochastic manner, able to handle missing features and can manage high dimensionality, very much sought after. This is the motivation for this research and our proposed model was designed with those traits in mind.