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genetic algorithms optimization
相关语句
  遗传算法优化
     Genetic algorithms optimization based fuzzy logic controller and its application in nonlinear system
     遗传算法优化模糊控制器及其在非线性系统中的应用
短句来源
     Genetic Algorithms Optimization of L-Ile Fermentation Medium and Modeling by Neural Network
     L-异亮氨酸发酵培养基的遗传算法优化及发酵过程的神经网络建模
短句来源
     Aiming at the defect of the fixed parameters Fuzzy controller, This paper designs a formulae of self-tuning operational parameters and proposes a fuzzy controller whose operational parameters can automatically adjust according to the system's current dynamic error based on genetic algorithms optimization. The result of computer simulation shows that it is more excellent than the fuzzy controller whose parameters are fixed in dynamic behavior and steady-state performances of system response.
     针对固定参数模糊控制器的上述缺陷,构造以系统动态误差为变量的运行参数自调整公式,提出了一种基于遗传算法优化的参数可在线自调整的模糊控制器的设计方法,计算机仿真结果表明这种模糊控制器比参数固定的模糊控制器在系统动态和稳态性能方面有较明显的改善。
短句来源
     Considering the requirement of high performance of induction motor servo system, more parameters and more time of logic determine are the major drawback in the variable structure control, this paper design such a system with a simple sliding-mode position controller based on adaptive genetic algorithms optimization. The novel control rue can reduce the time of logic determine.
     根据感应电机伺服系统高精度、快响应的要求,以及传统的滑模变结构控制器涉及较多的参数和逻辑判断次数等缺点,设计了一种简化的滑模控制律,并用Lyapunov稳定性理论证明了控制系统的稳定性,然后利用自适应遗传算法优化滑模控制律中涉及的参数,得到控制器最佳的参数组合。
短句来源
  “genetic algorithms optimization”译为未确定词的双语例句
     Based on SGA, the paper sets up a new improved genetic algorithms - ranking genetic algorithms (RGA) that integrated a new intelligent optimization method (genetic algorithms optimization method) and a classical optimization method (heuristic optimization method) perfectly.
     在标准遗传算法的基础上,作者提出了一种新的改进遗传算法——分类遗传算法,使新型优化算法(遗传算法)和经典优化方法(启发式优化算法)巧妙结合起来。
短句来源
     Combined with the theoretically computed and actually measured wave velocity, a genetic algorithms optimization technique is employed to identify the location and size of the damage.
     在此基础上开发了基于应力波和小波分析的损伤识别算法,使用遗传算法准确确定损伤位置和损伤尺寸; 最后对利用应力波进行损伤成像进行了研究,将损伤情况进行可视化;
短句来源
     This article presents a new modal named Stepwise Optimization Making Modal (SOMM) which is used to dig out the tree-like hierarchical distribution structure from feature space based on the Genetic Algorithms Optimization Theory and the knowledge fused distribution functions.
     本文提出了空间逐步寻优的数据挖掘方法(SOMM),是在遗传算法寻优理论基础上,根据知识参数化样本分布函数,来逐步分离样本空间,获得样本空间的树状的层状分布结构;
短句来源
     This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
     本文提出一种基于基因算法优化的自学习模糊控制器的设计 .
短句来源
  相似匹配句对
     So is the Genetic algorithms.
     而遗传算法(GA—Genetic Algorithms)也已经被广泛应用于许多实际问题。
短句来源
     ADVANCES IN GENETIC ALGORITHMS
     遗传算法的研究与进展
短句来源
     The genetic
     用等电聚焦免疫固定技术调查成都地区汉族群体Bf的遗传多态性。
短句来源
     Genetic Algorithms for Multiobjective Optimization
     遗传算法在多目标优化中的应用
短句来源
     Improving Optimization Speed for Genetic Algorithms
     遗传算法优化速度的改进
短句来源
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  genetic algorithms optimization
These techniques are coupled with both local (modified Newton's method) and global (genetic algorithms) optimization methods.
      


A Virtual reality scheduling approach is developed for the paper industry. It is an integration with virtual reality technique, Petri Nets modeling technique, Genetic Algorithm optimization method and computer technique. Optimization scheduling can be done by employing model prediction,optimization computation and dynamic scheduling. An example is given to demonstrate the applicability of the approach.

生产调度问题是公认的应用难题,笔者结合虚拟现实技术、Petri网模拟技术、遗传算法和计算机技术,开展拟实调度研究,通过模型预测、优化计算和动态调度实现优化目的,仿真结果表明了拟实调度研究的有效性。

Design method of genetic algorithms optimization based fuzzy logic controller is proposed in this paper. The GA Fuzzy controller is constructed by utilizing GA to optimize fuzzy parameters. This approach can be applied to MIMO systems. The typical nonlinear complex system — double inverted pendulum system is employed as a test bed to demonstrate the effectiveness of the proposed GA Fuzzy algorithm and the simulation results are given.

提出一种基于遗传算法优化的模糊控制器的设计方法,即利用遗传算法对模糊控制器的参数进行寻优,构成一个GA-Fuzzy 控制器.该算法适用于多输入-多输出系统.对于典型非线性复杂系统二级倒立摆的仿真结果证明了本文控制算法的有效性和适应性.

In order to find out the feature patterns from multi-dimension space, the conventional approach is to separate feature space by assuming the distributed functions of all features in one time. But however, because of inter-overlapping among the sample sets and the confusion from the discrete points, it is often very difficult to acquire the subtle and procedural distribution structure, which can influence the precision and interpretability of the mining outcome. This article presents a new modal named Stepwise...

In order to find out the feature patterns from multi-dimension space, the conventional approach is to separate feature space by assuming the distributed functions of all features in one time. But however, because of inter-overlapping among the sample sets and the confusion from the discrete points, it is often very difficult to acquire the subtle and procedural distribution structure, which can influence the precision and interpretability of the mining outcome. This article presents a new modal named Stepwise Optimization Making Modal (SOMM) which is used to dig out the tree-like hierarchical distribution structure from feature space based on the Genetic Algorithms Optimization Theory and the knowledge fused distribution functions. The SOMM based multi-spectral remote sensing classification approaches, including the hierarchical clustering modal and supervised hierarchical classification, are also presented. Finally, the case of practical application of remote sensing land covering classification in Hong Kong region is presented, then the procedure of SOMM and conventional MLC approaches are synthetically analyzed. Experimental results show that SOMM approach has more advantages in procedural prediction, subtle structure, classification precision, and area knowledge fusion, etc.

对于在特征空间中寻找特征模式,一般是通过假设分布函数一次性对样本空间进行分离的方法去试图获得特征空间的样本总体分布规律。但是由于样本集之间互相重叠或者由于离散样本相互干扰的原因,往往很难获取细节性和过程性的分布结构,而直接影响结果的精度和解释力。本文提出了空间逐步寻优的数据挖掘方法(SOMM),是在遗传算法寻优理论基础上,根据知识参数化样本分布函数,来逐步分离样本空间,获得样本空间的树状的层状分布结构;同时提出了基于SOMM的多波段遥感影像聚类模型和监督分类模型;最后对分类过程和结果进行了综合分析,通过与最大似然和BP神经网络方法相比较,认为SOMM方法在过程化、细节化、分类精度、融合领域知识等方面具有一定的优势。

 
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