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genetic learning algorithm
相关语句
  遗传学习算法
     The Research on Artificial Immune Genetic Learning Algorithm and Its Application in Engineering
     人工免疫遗传学习算法及其工程应用研究
短句来源
     Aimed at complex dynamic systems, a new method of dynamic fuzzy identification based on Genetic Algorithm is proposed. A new algorithm for learning fuzzy rules is given. Fuzzy inference systems and genetic learning algorithm are discussed to nonlinear system modeling .
     针对复杂的动态系统,提出了一种基于遗传算法的模糊模型辨识方法,给出了学习模糊规则的新算法,探讨模糊推理方法和遗传学习算法用于非线性系统建模的问题.仿真结果证明了该算法的有效性.
短句来源
     Secondly, RNNIM is decided on the basis of the probable rule set. Finally, the network is exercised with a genetic learning algorithm for improving the accuracy identifying stochastic events modes.
     其次利用概约化规则集建立RNNIM,用遗传学习算法训练网络。
短句来源
     According to the characteristics of fuzzy cognitive maps,a genetic learning algorithm was proposed for the construction of the system fuzzy cognitive maps. It provided a method for the analysis and the forecast of complex system.
     文中根据模糊认知图的特点,提出了用遗传学习算法建立系统的模糊认知图方法,为复杂系统分析及预测提供了一种解决方案。
短句来源
  “genetic learning algorithm”译为未确定词的双语例句
     In designing a multi-structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, In optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the BP adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm.
     在多结构基元滤波器设计中,通过学习人-机交互选定的目标样本,自动确定形态变换的组合规则及其结构元素,最终以神经网络形式构成滤波器。 在结构参数的优化学习中,利用应用领域的先验知识,分别设计了自适应BP学习、启发式遗传学习和引导式模拟退火学习等三种最优化计算方法。
短句来源
     the RBF neural network structure learning approaches involving K-means class learning玦gorithm, orthogonal least squares learning algorithm and genetic learning algorithm;
     RBF神经网络的聚类学习算法、正交最小二乘学习算法、遗传进化学习算法;
短句来源
  相似匹配句对
     On Learning
     论学习
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
     Parallel genetic algorithm based on learning mechanism
     一种基于学习机制的并行遗传算法
短句来源
     Learning Evasive Maneuvers Using Genetic Algorithms
     遗传算法在逃逸机动策略中的应用研究
短句来源
     Machine Learning Based on Coevolutionary Genetic Algorithms
     基于共同进化遗传算法的机器学习
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  genetic learning algorithm
In this paper, we describe and evaluate several variations of a new genetic learning algorithm (GLOWER) on a variety of data sets.
      
By the guidance of the fitness function, the genetic learning algorithm searches for the best-fit value in a way like the natural surviving laws.
      
The training process of the neural-network controller is based on the genetic learning algorithm.
      


Aimed at complex dynamic systems, a new method of dynamic fuzzy identification based on Genetic Algorithm is proposed. A new algorithm for learning fuzzy rules is given. Fuzzy inference systems and genetic learning algorithm are discussed to nonlinear system modeling .The simulation results show that this method has good effectiveness.

针对复杂的动态系统,提出了一种基于遗传算法的模糊模型辨识方法,给出了学习模糊规则的新算法,探讨模糊推理方法和遗传学习算法用于非线性系统建模的问题.仿真结果证明了该算法的有效性.

In order to decrease the times of power flow calculation of stochastic events in bulk power systems reliability evaluation and identify whether a stochastic event belongs to contingency pattern quickly and effectively, a soft computing model of contingency pattern identification—Rough Neural Network Integrated Model(RNNIM),is presented in this paper by means of integrating rough set, artificial neural network and genetic algorithm. Furthermore, a power system reliability evaluation algorithm based on RNNIM is...

In order to decrease the times of power flow calculation of stochastic events in bulk power systems reliability evaluation and identify whether a stochastic event belongs to contingency pattern quickly and effectively, a soft computing model of contingency pattern identification—Rough Neural Network Integrated Model(RNNIM),is presented in this paper by means of integrating rough set, artificial neural network and genetic algorithm. Furthermore, a power system reliability evaluation algorithm based on RNNIM is put forward. Firstly, the input variables of RNNIM are reduced; learning samples are extracted; a probable rule set about the relation between stochastic event classes and system states are draw out by means of rough set methods. Secondly, RNNIM is decided on the basis of the probable rule set. Finally, the network is exercised with a genetic learning algorithm for improving the accuracy identifying stochastic events modes. The numerical experiments for RBTS6 and IEEE-RTS79 show the correctness, feasibility and availability of RNNIM.

为减少大电力系统可靠性评估中偶发事件的潮流计算次数,提高故障模式识别率,将粗糙集与神经网络、遗传算法有机融合,提出了电力系统偶发事件模式识别的软计算模型——粗神经网络融合模型(RNNIM)和基于RNNIM的电力系统可靠性评估算法。首先利用粗糙集方法约简RNNIM的输入变量,提炼样本,提取事件类与系统状态关系的概略化规则集;其次利用概约化规则集建立RNNIM,用遗传学习算法训练网络。以RBTS和IEEE-RTS79测试系统为例,说明所提模型是正确、可行和有效的。

There is a number of process relying,self organization and evolution in the complex system,so the traditional modeling method is difficult.Fuzzy cognitive maps as a soft computing method,which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.According to the characteristics of fuzzy cognitive maps,a genetic learning algorithm was proposed for the construction of the system fuzzy cognitive maps. It provided a method for the analysis...

There is a number of process relying,self organization and evolution in the complex system,so the traditional modeling method is difficult.Fuzzy cognitive maps as a soft computing method,which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.According to the characteristics of fuzzy cognitive maps,a genetic learning algorithm was proposed for the construction of the system fuzzy cognitive maps. It provided a method for the analysis and the forecast of complex system.Finally,the stock market data were used as the test data for the simulated test of analysis and prediction.The result shows that the forecast technology has short-term forecast ability.

复杂系统中存在着大量的过程依赖、自组织,并且一直是进化的,用传统的方法对其建模十分困难。模糊认知图作为一种模糊逻辑和神经网络相结合的产物,为复杂系统建模提供了一种有效工具。文中根据模糊认知图的特点,提出了用遗传学习算法建立系统的模糊认知图方法,为复杂系统分析及预测提供了一种解决方案。最后,以股票市场的数据为例进行了分析和预测模拟,结果表明,该方法是有效的。

 
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