| 1. | ( 2 ) an efficient training algorithm for pnn using the minimum classification error criterion is presented
( 2 )提出了一种基于最小分类错误准则的概率神经网络的训练算法。 |
| 2. | Besides , many classification errors are caused by mixed pixels and speckle noise of the sar image
另外,许多分类错误是由sar图像的像素点类别混淆和相干斑噪声干扰引起的。 |
| 3. | Moreover , the classification error rate is related to the bayes error by selecting appropriate weighting function
并选择适当的加权函数，使得分类错误率逼近贝叶斯错误率。 |
| 4. | It turns out with practical examples that the classification error can be greatly reduced by virtue of rough set theory methodology
结合实例说明了在聚类分析过程中，可以应用粗糙集方法有效地降低误分类率。 |
| 5. | Clean up classification errors using known information ( e . g . clip large water bodies to remove confusing classes due to shallow water )
利用已知资讯清理分类错误（例如：裁剪大片水体以清除浅水引起的混淆性分类) 。 |
