本文提出一种前馈神经网络的快速学习算法。
In this paper, a novel fast learning algorithm for multilayered feedforward neural network is introduced.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
目前SVM的研究热点主要有：svm的模型选择、快速学习算法研究等。
At present, there are some hot topics in SVM researches, for example, model selection, fast learning algorithms et al.
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