函数分类的英文

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英文翻译
造句

function category

函数 function
分类 classify
模糊函数分类 classification of fuzzy functions
参数分类 parametric classification
非参数分类 nonparametric classification
基数分类 radix sorting
计数分类 counting sort
函数分析 function profiling; functional analysis
函数分析器 function analyser
函数分压器 functional potentiometer
频数分类比较 comparison of frequency distribution
传递函数分析 transfer function analysis
函数分析杂志 journal of functional analysis
模糊函数分析 analysis of fuzzy functions
误差函数分布 error function distribution
相关函数分析 correlation function analysis
指数分布函数 exponential distribution function
指数函数分布 exponential distribution
基数分类, 基数排序 radix sorting
卡片计数分类器 card counting sorter
斐波纳契数分类 fibonacci series sorting
传递函数分析程序 transfer function analyzer
传递函数分析器 transfer-function analyzer
传递函数分析仪 transfer function analyzer
传送函数分析器 tfa transfer function analyzer

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例句与用法

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。
3 . a new unbundled interactive multi - objective optimization method used to solve the tri - multi - objective optimization is developed . in the new interactive multi - objective optimization , the functions are unbundled to three classes : the first is the set whose value should be improved ; the second is the set whose value are allowed to relax ( impair ) ( ) and the final is the set whose value are accepted ) ( such that { the set of all the objective function } ) ? t
针对目标函数有参数不确定的优化命题，本文具体描述了其三目标优化命题，综合当前交互式多目标优化算法的研究成果，并提出了一种基于目标函数分类的交互式优化算法，把目标函数进行分类符合决策者在交互决策过程中的行为习惯，可实现友好人机交互。
The research object of the dissertation is system optimization for the uncertainty system with interval model parameter . based interval mathematics and regret , an alternative problem of the uncertainty problem with tri - objective optimization is proposed . for this ami , integrated some intelligent methods , some efficient optimization methods are proposed in this dissertation such as hybrid genetic optimization method ^ optimization based on dynamics and interactive multi - objective method based on unbundled objective functions , and so on
本论文的研究目标是解决模型参数为区间数的不确定系统的优化问题，以此为目的，结合一些智能的计算方法，提出解决本问题的一些有效优化算法，如混合基因优化算法，动力学优化算法，基于目标函数分类的交互式多目标优化算法等。