为了介绍ART网络具体工作过程，我们制作了Matlab演示程序。第一个程序利用newc（）函数对网络进行自适应训练，修改权值并对样本进行分类判别；第二个则利用adapt（）函数对预测信号进行跟踪训练，并得出训练值与目标值之间的差异。-ART network to introduce specific work process, we produced a Matlab demo program. No. 1 newc procedures for the use () function on t

Providing a unique perspective on the state of the art in SVMs, with a particular focus on classification, this thoroughly updated new edition includes a more rigorous performance comparison of classifiers and regressors. In addition to presenting va

用于分类,用于复杂机械的故障诊断，有很好的作用-Used for classification, for complex mechanical fault diagnosis, have a very good effect

object classification using recognized scene text in natural images. While the state-of-the-art relies on visual cues only, this paper is the first work which proposes to combine textual and visual cues. Another novelty is the textual cue extraction.