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ga algorithm
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  “ga algorithm”译为未确定词的双语例句
     A Hybrid BP-ANN/GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM+and ERS-2 SAR
     用于Landsat ETM+和ERS-2SAR图像融合对城区地物特征分类的BP-ANN/GA混合算法
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     Circuit design of a LSI neural network using BP GA algorithm
     采用BP-GA算法的一种LSI神经网络的电路设计
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     Design of GA Algorithm Based on OOP
     基于OOP的遗传仿真算法设计
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     Study and Applications of Neural Network Fuzzy Predictor Based on GA Algorithm
     基于GA算法的神经网络模糊辨识器研究及其应用
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     Application of the hybrid BP/GA algorithm in simple integrated navigation system
     BP/GA混合算法在简易组合导航系统中的应用
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     in the algorithm;
     算法简单易行。
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     The principle of genetic algorithm(GA) is introduced.
     介绍了遗传算法 (GA)的基本原理及遗传算法工具箱 (GOAT)的基本用法 .
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     Hybrid algorithm based on PSO and GA
     一种基于PSO和GA的混合算法
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     H-Algorithm and its Validity
     H算法及确实性
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     With 200 ga.
     当剂量分别为200ga.
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  ga algorithm
In order to improve their search performance, we propose a fast GA algorithm called momentum GA, which employs momentum offspring (MOS) and constant range mutation (CRM).
      
We use a GA algorithm to generate feasible physical topologies starting from the initial physical topology we obtained in Section IV-A.
      
We used a simple GA algorithm with single-point crossover and selection based on a roulette-wheel process.
      
The most time consuming part of the proposed GA algorithm is to calculate the fitness value for each individual.
      
The GA algorithm is used with different initial population sizes.
      
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The optimization of fuzzy CMAC membership function by adaptive genetic algorithm (GA) is carried out in this paper for the first time.An adaptive GA algorithm for the optimization of fuzzy CMAC learning sine curve is proposed. Simulations demonstrate that the convergence efficiency of fuzzy CMAC learning sine curve optimized by adaptive GA is one thousand times improved than that of standard CMAC, and ten times than that of standard fuzzy CMAC. It also shows that the optimization results...

The optimization of fuzzy CMAC membership function by adaptive genetic algorithm (GA) is carried out in this paper for the first time.An adaptive GA algorithm for the optimization of fuzzy CMAC learning sine curve is proposed. Simulations demonstrate that the convergence efficiency of fuzzy CMAC learning sine curve optimized by adaptive GA is one thousand times improved than that of standard CMAC, and ten times than that of standard fuzzy CMAC. It also shows that the optimization results by adaptive GA are faster than those of the simple GA,while the optimization result by the adaptive GA obvously overcomes the oscillation in evoluation process of the simple GA.In a word,the optimization by the proposed adaptive GA is reliable and effective.

首次采用遗传算法(GA)设计模糊小脑模型神经网络(FuzzyCMAC)的隶属函数.提出一个自适应GA优化算法,并且以优化模糊小脑模型FuzyCMAC学习正弦曲线.仿真实例表明,采用自适应GA方法优化的FuzyCMAC学习精度比标准小脑模型CMAC提高大约三个数量级、比标准FuzzyCMAC(三角形隶属函数)提高一个数量级.自适应GA方法优化的FuzyCMAC学习速度比普通GA优化的速度快且进化过程的振荡明显减小,仿真证明该方法比普通GA优化方法稳定,收敛效果好.

The multi-level lot sizing problem is not only theoreticall "hard", but also computationally very difficult handle. In this paper we propose a new genetic stochastic search method to solve MLLS based on properties of the solution of MLLS; Computational results of 6 tested problems show that the average improvenment percent given by MLLS/GA algorithm is over 5 % as compared to MLLS/Heuristic solutions.

多级生产批量计划问题的研究与开发不但是一个应用上的难题,也是一个理论的难题[1].本文基于问题的性质.从一个新的角度即从调整变量出发,运用遗传算法(GA)随机搜索进行求解;通过仿真实验,测试6个问题表明,多级生产批量计划问题的GA算法比循环动态规划启发式算法平均改善5%以上.

An effective network learning method is formed by combining GA,BP algorithms with fuzzy logic system. The structure of fuzzy logic system predicator based on neural network is proposed. Its parameter training is carried out by using mutation GA algorithm and self-tunning adaptivity aross. Computer simulation and practical model predication for hydrocracking have shown the feasibility and practability of this method. This method is expected to provide an effective and helpful means for optimizing...

An effective network learning method is formed by combining GA,BP algorithms with fuzzy logic system. The structure of fuzzy logic system predicator based on neural network is proposed. Its parameter training is carried out by using mutation GA algorithm and self-tunning adaptivity aross. Computer simulation and practical model predication for hydrocracking have shown the feasibility and practability of this method. This method is expected to provide an effective and helpful means for optimizing operation and model predication in petrochemical industry.

将模糊逻辑系统、GA算法与BP算法相结合,形成一种有效网络学习方法。提出了基于神经网络的模糊逻辑系统辨识器的结构形式,利用自适应交叉率、变异率GA算法对其进行参数训练。通过计算机仿真和加氢裂化装置航煤干点模型预测,表明该方法的可行性和实用性,可望为石油化工模型预测、优化操作提供一种辅助性有效手段。

 
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