学习样本,learning sample英语短句,例句大全

学习样本,learning sample
1)learning sample学习样本
1.Adopting the improved B P algorithm to establish network structure and thoroughly investigating the process, and the method constructing learning sample has been improved.研究使用了一种基于统计的学习样本生成方法 ,提高了样本的质量。
2.Firstly, divide the main class into subclasses which assume the similar index value, take the subclass center as the typical learning sample then make a new set of learning sample, and train the neural network using this sample set.先将模式大类细分为具有相近指标值的子类 ,以子类中心为典型学习样本 ,构成新的学习样本集 ,并以此样本集训练神经网络。
3.One of selecting rules of learning samples is proposed according to the principle of the pattern recognition model.鉴于学习样本对神经网络模型的模式识别性能有很大的影响 ,提出学习样本的选择应与识别模型所利用的特性相结合 ,并利用汉明 (Hamming)距离对用于旋转不变识别的级联模型的学习样本进行优选 ,计算机对三个很相似的飞机模型进行识别 ,识别结果表明对学习样本进行有效的选择不仅可以减少系统的学习训练时间而且可以提高模型的识别能力。

英文短句/例句

1.Approach to Eliminating Morbid Samples in Forward Neural Networks前馈神经网络病态学习样本剔除方法
2.Effect of Neural Network Learning Patterns on Forecast of Tyre Curing Temperature神经网络学习样本对轮胎硫化温度预测的影响
3.Analysis of Decision Rules in the Presence Of Classification Errors of the Learning Sample;学习样本存在分类错误时的决策判据分析
4.Partitioning machine learning sample set using similarity to mean vector基于均矢量相似性的机器学习样本集划分
5.Experiments show that the learned metrics can be used to significantly improve image retrieval performance.试验结果表明，该方法能在学习样本极少的情况下提高检索的性能。
6.The Foundation of Statistical Learning Theory with Rough Samples;基于粗糙样本的统计学习理论的基础
7.An incremental learning algorithm for multi-class sample实现兼类样本类增量学习的一种算法
8.The Key Theorem of Learning Theory on Rough Random Samples;基于粗糙随机样本的学习理论的关键定理
9.Some Studies of Learning Theory about Samples Corrupted by Noise on Credibility Space;可信性空间上样本受噪声影响的学习理论研究
10.Some Theoretical Studies on Learning Theory with Samples Corrupted by Zero-expect Noise;零均值噪声样本下学习理论的若干理论研究
11.The Key Theirem of Statistical Learning Theory about Fuzzy Examples;基于模糊样本的统计学习理论关键定理
12.An Algorithm for Representative Sampling Based on Incremental Learning;一种基于增量学习的典型样本选取方法
13.The Theoretical Foundations of Statistical Learning Theory of Birough Samples基于双重粗糙样本的统计学习理论的理论基础
14.Small Sample Incremental Biased Learning Algorithm for Sketch Retrieval面向草图检索的小样本增量有偏学习算法
15.Key Theorem of Learning Theory Based on Rough Random Samples基于粗糙随机样本学习理论的关键定理
16.Statistical learning theory of complex samples on Sugeno measure spaceSugeno测度空间基于复样本的统计学习理论
17.Key theorem of learning theory about complex g_λ samples corrupted by noise受噪声影响的复g_λ样本的学习理论的关键定理
18.follow the example of sb.学（习）某人的榜样

相关短句/例句

learning samples学习样本
1.It shows that the number of learning samples is the key for a good p.本文详细地分析了不同 BP神经网络模型的预测效果以及制约其预测效果的主要因素 (网络结构、学习样本数量、隐层节点数、学习精度 ) ,并发现学习样本数是影响 BP神经网络性能的关
2.According to the variation characteristics of the operating condition of internalcombustion engines, an improved orthogonal design method which considers the changes on factor boundary is proposed to choose learning samples of neural networks.研究神经网络理论用于内燃机排放预测模型时学习样本的选取方法,针对内燃机工况变化的特点,对传统的正交设计法进行了改进,提出并验证了用考虑因素边界变化的正交设计法选取样本的可行性。
3.Secondly,to extract learning samples from the MADM problem,an approach to estimate the utility functions for attributes is presented.其次,提出了基于属性效用函数估计的学习样本构造方法,从决策问题本身抽取学习样本。
3)training sample学习样本
1.This method integrates the setting of initial parameters with the wavelet type,time-frequency parameters of the wavelet and the training samples.为了加快网络的学习速度,本研究提出了一种将小波网络的初始参数设置和小波类型、小波时频参数和学习样本等联系起来的小波神经网络的初始参数设置方法。
4)sample learning样本学习
1.In view of the original unstructured data existing in various tables, the sample learning algorithm based on artificial neural network is put forward to refine the diagnosis rules so as to realize automatic knowledge acquiring.针对表格等非结构化的原始数据,运用基于人工神经网络的样本学习算法从中提炼得到诊断规则,实现知识的自动化获取。
5)studying specimen学习样本人
6)without sample study无样本学习