Efficient extraction of image texture features are used on the following support vector machine classifier learning and training have a very important role.

图像纹理特征的有效提取对下面所用到的支持向量机分类器来进行学习和训练有非常重要的作用。

youdao

The experiments on UCI Machine Learning Repository prove that, compared to existing measures, EPD shows stronger ability in predicting the performance of multiple classifier systems.

对UCI机器学习数据库的实验证明，相对于其它方法，EPD方法对多分类器系统性能的预测能力更强。

youdao

Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.

实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。

youdao