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neural classifier中文什么意思

发音:   用"neural classifier"造句
  • 《英汉医学词典》neural classifier
  • 神经分类器
  • neural:    adj. 【解剖学】神经(系统)的;神经中枢的;【解剖学】背的,背侧的。 adv. -ly
  • classifier:    n. 1.分类者。 2.【矿物】分级机。 3.【化学】分粒器。 4.(汉语等中的)量词。
  • neural analyzer:    神经分析器
  • neural arch:    【动物;动物学】髓弓。
  • neural assembly:    神经集合
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例句与用法

  1. our results suggest that ga based neural classifiers are robust and effective in finding optimal subsets of features from large data sets
    结果显示,基因演算法结合类神经分类器筛选特征值法是有效且稳健的。
  2. with this method, it is direct and convenient to construct a neural classifier . experimental results show that the covering method is promising for solving prpls
    这样,神经分类器的构造变得直观、容易,实验结果表明覆盖方法对于解决大规模问题是很有潜力的方法。
  3. this method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation ( bp ) neural classifier, radial basis function ( rbf ) classifier or learning vector quantization ( lvq ) classifier
    此方法结合基因演算法与类神经分类器,如倒传递分类器、放射基底函数分类器以及学习矢量量化分类器。
  4. recently a covering method for feed-forward neural network design has been proposed by professor zhang ling . based on the sphere neighborhood model, this method transforms the design of neural classifiers to a geometrical covering problem
    近来张铃教授提出了一种前馈神经网络设计的覆盖方法,它以球面领域模型为基础,使得神经网络的设计转化为几何覆盖问题。
  5. (5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self-adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier . the experimental study efface recognition is presented based on the combination of multi-feature multi-classifier . ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors
    (5)对图象分类器设计方法进行研究,主要包括:提出了一种基于广义逆和概率推理的分类器设计方法;提出了一种新的自适应模糊聚类算法;提出了基于模糊神经网络的分类器设计方法;并对多特征多分类器组合方法在人脸识别中进行实验研究;(6)提出了一种只要一个训练样本就能解决人脸识别问题的新方法,该方法结合了特征矩阵、fisher最优鉴别分析和广义最优鉴别分析方法的优点。

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