分类类别 meaning in Chinese
class category
Examples
- Classification of premium membership services offered
会员分类类别 - Therefore , it is a puzzle to study the classification model , increase the class number and improve the detection ratio according to the classic classification algorithms
因此，不管是分类模型的建立，还是分类类别数目的扩展和分类率的提高，难度都相当大。 - Since the size of metadata is less than that of full text and the number of papers classified in a subclass is less than that of total number of papers , the new model enhances the efficiency of paper classification when the number of classes is bigger and the documents are distributed averagely in the given taxonomy
因元数据的尺寸远远小于论文全文的尺寸，而粗分类后每类的论文数要远远小于全体论文数，故在分类类别数目较多且分类文本分布较为平均的情况下，可极大地缩短分类的时间。 - In algorithms , classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model . four classification algorithms , the bata - prime statistic model fusing quadratic gamma classifier , based on sar image rcs reconstruction and space position mode , on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model , are derived . the problems , including how to further improving the class ratio of the bayes decision , decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples , are solved
提出了基于径向基函数神经网络( rbfn )的双隐层混合网络( mdhrbfn )模型，解决了标准神经网络在具体sar图像地物分类中分类类别数目不够和分类精度差的问题；提出了基于模糊推理系统的自适应模糊rbfn分类( afrbfn )模型，兼顾通用性与精确性，增强人机交互能力，进一步提高了算法分类率。