基于原训练样本集和新增训练样本集在增量训练中地位等同，提出了一种新的SVM增量学习算法。
Based on the equivalence between the original training set and the newly added training set, a new algorithm for SVM-based incremental learning was proposed.
将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
梯度下降算法是训练多层前向神经网络的一种有效方法，该算法可以以增量或者批量两种学习方式实现。
Gradient descent algorithm is an efficient method to train FNN, and it can be realized in batch or incremental manner.
摘要：在增量学习过程中，随着训练集规模的增大，支持向量机的学习过程需要占用大量内存，寻优速度非常缓慢。
Absrtact: During the incremental learning, with the increase of the training set, it is very costly to process these data in terms of time and memory consumption.
增量型的支持向量机训练算法的一个重要特点是可以用于实时在线训练支持向量机的模型，这将大大扩展支持向量机的应用范围。
An advantage of the incremental algorithm is that it can be used to train SVM model online, which largely extends the application area of SVM.
增量型的支持向量机训练算法的一个重要特点是可以用于实时在线训练支持向量机的模型，这将大大扩展支持向量机的应用范围。
An advantage of the incremental algorithm is that it can be used to train SVM model online, which largely extends the application area of SVM.
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