Moreover, machine selection model and machinery disposition optimization model are set up with the mathematical method.
并分别运用数学的方法建立了机械选型模型和系统优化组配决策模型。
Research on model selection of Support Vector Machine .
支持向量机的模型选择研究。
A multi-level decision model for selection of machine, fuzzy reasoning of machine kind and fuzzy comprehensive evaluation of machine spec , is propounded.
将机床选择分为机床类型选择和机床规格型号选择两个层次，建立了机床类型选择的推理模型和机床规格型号选择的综合评判模型。
This paper also introduces the design methods of fact base, rule base and reasoning machine design method of NC tool selection system, and establishes NC tool selection model based on expert system.
论文还详细介绍了数控刀具事实库、规则库以及数控刀具选配系统推理机的设计方法，并建立了基于专家系统的数控刀具选配系统模型。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
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