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primary algorithm相关的网络例句

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The primary subject of this paper is to (1) The negative-selection algorithm that can be detected abnormity is improved by the mutation mechanism of genetic algorithm.

本文所做的主要工作如下(1)借助遗传算法中变异的机制,对能检测出异常变化的阴性选择算法作了新改进。

on the research of primary cable routing, an automated primary routing algorithm based on Dijkstra algorithm is put forward, which can generate automatically the primary radiate distribution planning graph of the area to be planned.b In the research of secondary cable routing, a heuristic search algorithm—production system reasoning of artificial intelligence is put forward in this paper to solve the problem of load allocation in outlet cables of main supply sources.

在初级布线的研究中,本文提出基于最短路Dijkstra算法的自动初级布线算法,该算法能对一个待规划的城区分片自动形成初步的城区辐射配电网规划图。

The primary work of this paper includes: 1 The general process and the fundamental theory of genetic algorithm is introduced systematically, which is also be applied to an example; 2 The penalty function method and the constraint tournament method are introduced in the paper, which are used to process the constraint limit. Via analyzing the basic principle of NSGA-II ,which is elaborated in the paper, the fast non- dominated sorting method, congestion distance and its comparison operator, the elite strategy and the main process of NSGA-II is researched particularly. 3 Via modeling the fire distribution problem, the model is computed by the algorithm of NSGA-II, which is combined with both the penalty function method and the restraint league tournament method The optimization of two goals are also realized in the paper. The results derived from the VC++6.0 indicate that, two algorithms both have the high convergence, simultaneously the Pareto optimal solution also maintain the variety of distribution.

本文所作的主要工作如下:系统地介绍了遗传算法的一般流程和基本理论,并应用于一个函数优化的实例;研究了用于处理约束限制的罚函数法和约束联赛法,论述了NSGA-II的基本原理,并对其提出的快速非支配排序法、拥挤度及其比较算子、精英策略及NSGA-II的主要流程作了详细的研究;建立了火力分配问题的模型,并将NSGA-II算法分别与罚函数法和约束联赛法相结合对该模型进行了计算,实现了对两个目标的最优化;用VC++6.0编程计算后所得的结果表明,两种算法均具有很好的收敛性,同时Pareto最优解也保持了好的多样性分布。

Furthermore, based on Two-term local quadrat variance algorithm, a scale decomposing method is pointed out. This thesis also evaluates the question that whether we can apply scale decomposing results into gully ordering results for getting gully ordering system keeping the same scale characteristics results.The primary works and contributions of this thesis are summarized as follows:1. Three term local strip lacuanrity algorithm (3TLSL)This thesis shows that the gliding algorithm of Lacunarity has several shortcomings, such as it can only focus on the current analysis window, and is easily influenced by some local irregular values.

更多。本文进行的主要研究工作如下:1、流域沟谷网络多尺度分析模式与算法研究首先,为解决空隙度的滑动框算法只考虑当前窗口、易受局部异常值影响的缺陷,本文提出了顾及邻域空间关系的3阶局部条形窗口空隙度(Three-term Local Strip Lacuanrity,3TLSL)算法,并以模拟沟谷网络为例,对比分析了3TLSL算法与滑动框算法的结果,研究结果显示,3TLSL算法在分析结果的精确性、可靠性、有效性等方面均有明显的提高。

The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model the constrained problem、the initial population and the controls parameter of genetic algorithm .

在广泛阅读文献和调研的基础上,本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合,对结构优化设计的基本概念、主要特点进行了介绍,对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithm Aimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上,本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合,对结构优化设计的基本概念、主要特点进行了介绍,对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithmAimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上,本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合,对结构优化设计的基本概念、主要特点进行了介绍,对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

A hybrid algorithm of morphological rules and machine learning was presented to tackle the assignment of primary accent. And a machine learning algorithm was proposed to handle the assignment of secondary accent.

主重音的标注采用形态规则和机器学习相结合的标注算法;而次重音的标注完全通过机器学习算法来进行。

LSL algorithm and its improved algorithm are primary contents of this paper.

本文的研究重点是LSL算法和改进的LSL算法。

Fist, comprehensive analysis on the current study on data processing is made, and characters of Newton methods about nonlinear surveying and mapping data processing are discussed, and then new solutions to parameters estimate with multi-sources, multi-types, multi-dimension, multi-precision bynonlinear least square are presented such as PSB algorithm, digital continuation and generalized digital continuation algorithm, cone model method, tensor analysis method, GCMA(mixed algorithm of gradient method and conjugate gradient method), combining algorithm based on Newton method and gradient method and confidence region and so on, and a new fast difference iterative algorithm is proposed towards parameters estimation containing random parameters in nonlinear models, and a new solutions to nonlinear least squares surveying and mapping adjustment by parameters estimation both considering the random and nonrandom parameters is presented after studying on nonlinear data processing in deformation monitoring, and at last primary analysis on error propagation of spatial data is made and approximate error propagation formula and error analysis formula to length and area are proposed.

首先比较全面分析了目前测量数据处理理论的研究现状,讨论了牛顿类方法在处理非线性模型参数估计方面的特点,研究并给出了求解多源、多类型、多维、多精度、非线性最小二乘测量平差参数估计的若干种新方法,这包括PSB算法、数值延拓及其广义数值延拓算法、锥模型法、张量分析法、基于最速下降法和牛顿法的组合算法、基于最速下降

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