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符号回归
相关语句
  symbolic regression
     Research on symbolic regression based on genetic programming
     基于遗传规划的符号回归研究
短句来源
     Theory of Genetic Programming and Its Application in Symbolic Regression
     遗传规划理论及其在符号回归中的应用
短句来源
     To overcome the difficulty in solving symbolic regression problem by using genetic programming (GP) design, a parameter estimation procedure based on simulated annealing is embedded into genetic programming to find useful parameters. The experimental results show that this method has the advantages of higher precision, automation over the traditional method.
     在遗传程序设计算法中 ,针对应用传统的遗传程序设计方法 ( Genetic Programming,GP)解决符号回归问题所遇到的困难 ,嵌入一个基于模拟退火思想的参数估计过程 ,得到更为精确的参数和个体结构 .
短句来源
     Applying Genetic Programming to symbolic regression problems,good results were obtained.
     将遗传程序设计应用于符号回归问题 ,获得满意的结果 .
短句来源
     Genetic Programming and Its Applications in the Symbolic Regression
     遗传程序设计及其在符号回归问题中的应用
短句来源
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  “符号回归”译为未确定词的双语例句
     A kind of Dual-mode Constant Modulus Algorithm(DCMA) based on fractionally-spaced equalization for blind equalization is presented to compensate the defects of the Constant Modulus Algorithm(CMA) and the Signed-Regressor CMA(SR-CMA).
     针对常数模算法(CMA)和符号回归常数模算法(SR-CMA)存在的问题,提出了一种基于分数间隔的双模式常数模(DCMA)盲均衡算法。
短句来源
     For increasing the speed of convergence of the signed regressor constant modulus algorithm (SRCMA), a fast SRCMA algorithm suitable for real BPSK signals is presented.
     为了加快符号回归常数模算法(SRCMA)的收敛速度,本文提出了一种适合于BPSK信号 的快速算法。
短句来源
     There are three branches: (1) Genetic Algorithm (GA) is the important role in EA, (2) Genetic Programming (GP) is a variant method of GA, (3) Gene Expression Programming (GEP) is a new genetic algorithm which invited by C.
     (3)基因表达式编程(GEP)是C.Ferreira发明的一种新的遗传算法。 基因表达式编程结合了基本遗传算法和遗传程序设计的优点,克服了它们的缺点,GEP采用特殊的编码方式和翻译系统,将GEP的基因型和表现型巧妙的结合在一起,在解决符号回归、序列推理、时间序列等问题上,它比GP具有更优的性能。
短句来源
     A fast convergent signed regressor constant modulus algorithm for blind equalization
     一种快速收敛的符号回归常数模盲均衡算法
短句来源
     At last, we get the optimized curve fitting of every cluster by using GP method to process the gray cluster results.
     最后采用GP来对灰色聚类结果进行符号回归,分别得到每一类曲线的最佳拟合曲线形式。
短句来源
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  相似匹配句对
     Novel Algorithm for Symbolic Regression
     符号回归的一种新算法
短句来源
     Does Architecture Return to Symbol or Return to Spirit?
     建筑回归符号还是回归精神?
短句来源
     Love return
     恋爱回归
短句来源
     Regression equation is y = 0. 05419 + 1.6552X.
     回归方程为:(?)
短句来源
     What is symbol?
     符号是什么?
短句来源
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  symbolic regression
Metamodeling by symbolic regression and Pareto simulated annealing
      
The subject of this paper is a new approach to symbolic regression.
      
Other publications on symbolic regression use genetic programming.
      
We compare our new method with the Kriging metamodel and against a symbolic regression metamodel based on genetic programming.
      
We conclude that Pareto-simulated-annealing-based symbolic regression is very competitive compared to the other metamodel approaches.
      
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Based on a novel evolutionary computation model, an automatic programming framework is proposed. By means of the concept of program generalization, programming for a particular task is converted into an optimization problem.Program evolver, which uses a formal grammar as its genetic representation, is amachine of simulated evolution independent of particular tasks. Once results of program generalization are translated by a binder, program evolver can construct thegoal program of a particular task automatically....

Based on a novel evolutionary computation model, an automatic programming framework is proposed. By means of the concept of program generalization, programming for a particular task is converted into an optimization problem.Program evolver, which uses a formal grammar as its genetic representation, is amachine of simulated evolution independent of particular tasks. Once results of program generalization are translated by a binder, program evolver can construct thegoal program of a particular task automatically. In this paper, automatic programming for symbolic regression tasks is used to demonstrate feasibility of the framework.

本文基于一种新颖的进化计算模型,提出一个自动程序设计框架.通过引入程序概括的概念,将给定任务的程序设计转换为寻优问题.程序进化器以形式文法作为遗传表示,它是独立于具体任务的进化模拟机.当程序概括的结果经联编器翻译后,程序进化器能够自动地构造出完成给定任务的目标程序.本文用符号回归任务的自动程序设计检验这一框架的可行性.

Stepwise regression algorithm is used to resolve a symbolic regression where overflow may occur. The selected variable is equal or near to the sum of squared residuals because of high accuracy of the data. This will lead to overflow as the absolute value of the denominator is too small. Two ways to correct the fault are presented.

将逐步回归算法用于符号回归任务时,会产生计算溢出现象.其原因是在检验因子的显著性时,由于数据精度很高,可能会发生最大偏回归平方和Vmax与残差平方和ryy相等或非常接近的情况,从而造成检验式分母的绝对值过小而溢出.对此,提出了两种修正方法,修正后的算法消除了隐患,可用于符号回归等高精度数据拟合任务.

This paper proposes optimizing access of genetic programming parameter with an orthogonal experiment method.Foroptimization in different field, it can be implemented by the genetic programming after the primary parameter optimization andcombination is fufilled by use of the orthogonal experiment method. To a certain degree, this method can curb the blindness duringaccessing parameter in the genetic progromming. Two examples about symbolic regression given in this paper show that the methodis feasible.

提出用正交试验的方法来优化选择遗传规划的参数,对于不同领域的优化问题,用此方法进行一次参数优化组合,就可以用遗传规划对具体问题进行优化。它在一定程度上可以避免遗传规划中参数选取的盲目性。通过对两个符号回归问题的验证,说明此方法是合理可行的。

 
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