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artificial variable相关的网络例句

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Introduced a graphical method ﹑ simplex method ﹑ artificial variable ﹑ dual simplex method and the solution of several basic advantages and disadvantages. Some of the basic methods of improvement.

介绍了图解法﹑单纯形法﹑人工变量法﹑对偶单纯形法几种基本解法及其优、缺点,以及对几种基本方法的改进。

Introduced a graphical method ﹑ simplex method ﹑ artificial variable ﹑ dual simplex method and the solution of several basic advantages and disadvantages.

本文初步阐述了线性规划产生的历史背景,发展概况,从线性规划问题问题出发,建立相应的数学模型,进而对线性规划有了更理性、更深层的认识。

Adding new rules to the artificial ecosystem model can simulate variable behavior.

通过加入和修正新的规则,人工生态系统模型可以模拟多种行为。

Currently, the building materials market artificial plate variable quality, some products at lower quality, some fake brand-name, the market is a bit confusing.

目前,建材市场的人造板材质量参差不齐,有些产品质低价廉,有些假冒名牌,市场比较混乱。

This paper presents a method for getting initial basic feasible solution of linear programming problem with an artificial variable,comparing with a traditional two-stage way ,it has low computation amount and needs less memory cells for computing,and improve two-stage way simple method.

提出了一种通过对线性规划问题增广矩阵的初等行变换后,引进一个人工变量即可求得初始基可行解的方法,该方法与传统的两阶段法相比,具有计算量小且占有存储空间少的特点,从而简化了二阶段单纯形法。

This paper presents a method for seeking initial basic feasible solution of linear programming problem without using artificial variable,comparing with traditional two-stage way ,it has low computation amount and needs less memory cells for computing,so it is an improved two-stage way of the first period question.

提出了一种在不引入人工变量的情况下,寻求线性规划初始基可行解的方法,与传统的两阶段法相比,具有计算量小且占有存储空间少的特点,对两阶段法第一阶段问题作了改进。

In Black-Scholes pricing model, there was five variables impact the option price that we take to be the input variable in artificial neural network, both Back-Propagation Network and Radial Basis Function Network are used. Base on the difference analysis, we find out another variable that can improve learning efficiency and affectivity.

为避免差异,以Black-Scholes模式中,五项影响权证价格之因子为输入变数,分别以倒传递网路与半径式函数网路建立模式,並藉差异分析找出可改善学习绩效之变数。

And explained the basic main point of the semplex method through some concrete topics.and also introduced two method which have introduced artificial variable.finally analysised the semplex method in some placation ofactual linear programming questions.

文中还介绍了两种引入人工变量的方法,即:大法和两阶段法。最后介绍了一下单纯形法在一些实际的线性规划问题中的应用。

Pachira macrocarpa was the most cultivated foliage plants in Taiwan. The appearances were variable and with high plasticity. Pachira macrocarpa had a large output for export every year. However, braiding work was still in artificial, and it wasted a great deal of manpower. The standard work was not easy to quantify, and long-term work also caused occupational injury in hand. The related machinery development in this industry was lack. With changes of agricultural society structure, the braiding artificial became less with the labor shortage problem.

中文摘要马拉巴栗目前是台湾栽培最多的观叶植物,其植株造型变化多可塑性高,每年外销产量庞大,目前在编辫仍以人工方式进行,需耗费大量人力,长时间编辫亦会造成手部职业伤害,且作业标准不易量化,随著农业社会人口结构改变可进行编辫的人力也逐渐变少,常面临人力不足的情况。

The system implemented forest fire model selection automatically and intelligently. BP artificial neural network model of forest fire model selection was build by treating forest fire environment data as inputting variable and treating appropriate forest fire model as outputting variable. At the same time, we studied the methods of acquiring and calculating data of inputting and outputting. The system implemented machine of model selection automatically based on dynamic data driven technology. We selected 72 items experimental data from historical forest fire records in Beijing to experiment and confirm the validity of model selection. It turned out that the reliability of model selection is more than 80 percent.

3基于BP人工神经网络方法设计了林火模型适宜性选择技术框架结构,通过神经网络形成林火模型选择知识,实现了林火模型的自动化和智能化选择;以火场环境因子为输入变量,以适宜火场环境模拟的林火蔓延模型作为输出变量,构建了林火模型选择神经网络模型;研究了输入、输出因子数据的获取与计算方式,实现了动态数据驱动的林火模型自动选择机制;以本京市为例,选择了有详细火场情况记录的72场林火作为实验样本,其中60条记录作为学习样本集,12条记录作为验证样本,对神经网络进行了学习和验证,实验结果表明,模型选择精度可达到80%以上。

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