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混合计算智能     
相关语句
  hybrid computational intelligent
     A Hybrid Computational Intelligent Algorithm for Identifying Nonlinear Regressive Models
     非线性回归模型辨识的混合计算智能算法
短句来源
     A HYBRID COMPUTATIONAL INTELLIGENT ALGORITHM FOR NONLINEAR EQUATIONS BASED ON NEWTONIAN ALGORITHM AND GENETIC ALGORITHM
     基于牛顿法和遗传算法求解非线性方程组的混合计算智能方法
短句来源
     A Hybrid Computational Intelligent Algorithm for Identifying Nonlinear Regressive Models Based on the Steepest Decent Method
     非线性回归模型基于最速下降法的混合计算智能辨识算法
短句来源
     A HYBRID COMPUTATIONAL INTELLIGENT IDENTIFICATION ALGORITHM BASED ON LEAST SQUARE OPERATOR
     基于最小二乘算子的混合计算智能辨识算法
短句来源
     And then, considered that GA is with slow convergence, based on defining of a Newtonian operator, a fitness function, and a selecting operator, a hybrid computational intelligent algorithm for nonlinear equations, combined the advantages both of GA and Newtonian algorithm, is got with fast convergence and great probability for solving nonlinear solutions.
     然后针对GA收敛慢,通过定义牛顿算子,适应度函数和选择算子,从而得到结合GA和牛顿法两者长处,既有较快收敛性,又能以较大概率求解非线性方程组的混合计算智能算法。
短句来源
  hybrid computational-intelligent
     A HYBRID COMPUTATIONAL-INTELLIGENT ALGORITHM FOR THE NONLINEAR LEAST-SQUARES GLOBAL SOLUTION
     非线性最小二乘全局解的混合计算智能算法
短句来源
     A QUASI-NEWTONIAN ALGORITHM AND A HYBRID COMPUTATIONAL-INTELLIGENT ALGORITHM FOR CONSISTENT NONLINEAR EQUATIONS
     求解相容非线性方程组的拟牛顿法和混合计算智能算法
短句来源
     Through embedding a Newtonian operator into the genetic algorithm and defining a proper fitness and a numerical structure, a hybrid computational-intelligent algorithm for the global solution of the nonlinear least-squares problem, combined the advances of both of the genetic algorithm and the Newtonian algorithm, is got with the faster convergence and the greater probability for the global solution. The numerical results show that the method is distinctly superior to the genetic algorithm and the Newtonian algorithm.
     通过在遗传算法中嵌入牛顿算子,并定义适当的适应度和数据结构,从而得到可结合遗传算法和牛顿法两者长处,既有较快收敛性,又能以较大概率求得非线性最小二乘全局解的混合计算智能算法.数值结果表明了该方法显著优于遗传算法和牛顿法.
短句来源
     Considered that the QN method is with local convergence and then is often fail, through a QN operator is embedded into the genetic algorithm(GA) and a proper fitness function is defined,a hybrid computational-intelligent algorithm, combined the advances of both of GA and QN method, is got with fast convergence and greater probability for solving CNLE.
     针对该算法的局部收敛性容易导致求解失败,通过在遗传算法(GA)中嵌入QN算子,并定义适当的适应度,从而得到结合GA和QN法两者长处,既有较快收敛性,又能以较大概率求解CNLE的混合计算智能算法。
短句来源
  blend compute intelligent
     Aiming at the design difficulty of fuzzy neural network controller and the shortage of classical BP algorithm which leads to easily local convergence, after deep research of feed-forward neural network and fuzzy neural network controller based on BP algorithm, an optimization design method is proposed for the neural network parameters of IGA-BP algorithms based on blend compute intelligent method, that combines global convergence characteristics of the immune genetic algorithm with quick local convergence of BP algorithm.
     在深入研究基于BP学习算法的前向神经网络以及模糊神经网络控制器的基础上,针对模糊神经网络控制器难以设计以及传统BP学习算法易于陷入局部收敛的不足,结合免疫遗传算法的全局收敛特性以及BP学习算法局部收敛的快速性,提出了一种基于混合计算智能方法的IGA-BP算法的神经网络参数的优化设计方法.
短句来源
  hybrid computation intelligent
     Hybrid Computation Intelligent Learning Algorithm and Applications in System Identification
     混合计算智能学习算法在系统辨识中的应用
短句来源
     In this paper, a hybrid computation intelligent learning algorithm with the global convergence that combines BP algorithm with genetic algorithm is proposed.
     给出了一种将 BP算法和遗传算法有机结合的全局收敛的混合计算智能学习算法。
短句来源
     A hybrid computation intelligent learning algorithm which is not only globally convergent but also of very fast convergent speed is proposed and applied to system identification in this paper.
     提出既具有较快的收敛性 ,又具有良好的全局收敛特性的混合计算智能学习算法 ,并将其应用于系统辨识。
短句来源

 

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    Through embedding a Newtonian operator into the genetic algorithm and defining a proper fitness and a numerical structure, a hybrid computational-intelligent algorithm for the global solution of the nonlinear least-squares problem, combined the advances of both of the genetic algorithm and the Newtonian algorithm, is got with the faster convergence and the greater probability for the global solution. The numerical results show that the method is distinctly superior to the genetic algorithm and the Newtonian...

    Through embedding a Newtonian operator into the genetic algorithm and defining a proper fitness and a numerical structure, a hybrid computational-intelligent algorithm for the global solution of the nonlinear least-squares problem, combined the advances of both of the genetic algorithm and the Newtonian algorithm, is got with the faster convergence and the greater probability for the global solution. The numerical results show that the method is distinctly superior to the genetic algorithm and the Newtonian algorithm.

    通过在遗传算法中嵌入牛顿算子,并定义适当的适应度和数据结构,从而得到可结合遗传算法和牛顿法两者长处,既有较快收敛性,又能以较大概率求得非线性最小二乘全局解的混合计算智能算法.数值结果表明了该方法显著优于遗传算法和牛顿法.

    Considered that the Newtonian method is with local convergence and then is often fail, a genetic algorithm(GA) which can search the solution in the full variable space for nonlinear equations is got. And then, considered that GA is with slow convergence, based on defining of a Newtonian operator, a fitness function, and a selecting operator, a hybrid computational intelligent algorithm for nonlinear equations, combined the advantages both of GA and Newtonian algorithm, is got with fast convergence and great...

    Considered that the Newtonian method is with local convergence and then is often fail, a genetic algorithm(GA) which can search the solution in the full variable space for nonlinear equations is got. And then, considered that GA is with slow convergence, based on defining of a Newtonian operator, a fitness function, and a selecting operator, a hybrid computational intelligent algorithm for nonlinear equations, combined the advantages both of GA and Newtonian algorithm, is got with fast convergence and great probability for solving nonlinear solutions. The numerical computings show that the method is distinctly superior to GA and Newtonian algorithm.

    本文针对牛顿法的局部收敛性而容易导致求解失败,先讨论在全局空间搜索解的非线性方程组遗传算法(GA)。然后针对GA收敛慢,通过定义牛顿算子,适应度函数和选择算子,从而得到结合GA和牛顿法两者长处,既有较快收敛性,又能以较大概率求解非线性方程组的混合计算智能算法。数值计算表明本文方法显著优于牛顿法和GA。

    In this peper, a steepest decent operator, a selecting operator, a mixed numerical structure, and a fitness function are defined and then a hybrid computation-intelligent algorithm of the weighted leastsquares identification for nonlinear parameters of nonlinear dynamical systems is obtuined. The new algorithm with the faster convergence and the greater probability for the glob8l solution (consistently convergence estimates) combines the advances of both the genetic algorithm and the steepest decent algorithm....

    In this peper, a steepest decent operator, a selecting operator, a mixed numerical structure, and a fitness function are defined and then a hybrid computation-intelligent algorithm of the weighted leastsquares identification for nonlinear parameters of nonlinear dynamical systems is obtuined. The new algorithm with the faster convergence and the greater probability for the glob8l solution (consistently convergence estimates) combines the advances of both the genetic algorithm and the steepest decent algorithm. The numerical computution shows that the algorithm is distinctly suPerior to the genetic algorithm and the steepest decent algorithm.

    通过定义最速下降算子、选择算子、混合数据结构以及适应度函数,得到非线性动态系统非线性参数的加权最小二乘(WLS)辨识混合计算智能算法。该算法结合了遗传算法和最速下降法两者的长处,既有较快收敛性,又能以较大概率求得全局解(一致收敛估计)。数值计算表明该方法显著优于遗传算法和最速下降法。

     
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