The principle and method of Genetic Programming are expatiated.
介绍了遗传程序设计的基本原理和主要步骤。
The main goal is to improve genetic programming from the aspect of mutation.
其主要目的是从突变这一方面对遗传程序设计进行改进。
Methods Applying Genetic Programming to the automatic modeling of complex functions.
方法利用遗传程序设计来实现复杂函数的自动建模。
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。
Because fingerprints are produced by a combination of genetic programming and random chance.
因为指纹的生成由基因规律和随意组合决定。
The paper proposes a novel method for the identification of Hammerstein model based on genetic programming.
该文基于遗传规划提出了一种辨识哈默·斯坦模型的新方法。
This paper firstly introduces robotic soccer system's research status, genetic programming and layered learning.
该文首先介绍了机器人足球系统的研究概况及遗传编程和层次学习的概念。
Based on genetic programming (GP) theory, the mathematical modeling method of dam deformation monitoring is researched.
研究了基于遗传规划(gp)理论的大坝变形监测数学模型的建模方法。
Directed against the phenomena of the slower convergence, this paper presents genetic programming based on the macro-mutation.
本文针对基本遗传程序设计收敛速度缓慢的现象，提出基于宏突变的遗传程序设计。
Genetic programming (GP) is an automatic method for creating a computer programming or other complex structure solve a problem.
遗传规划(GP)是一种关于产生问题解的计算机程序或者其他复杂结构的自动方法。
This paper presents a new approach to obtain the optimal opening structure of underground mining method by genetic programming.
提出用遗传规划优化地下采矿方法巷道布置的新方法。
Cloning technology can produce embryonic stem cells, or cells with ESC properties, containing a patient's own genetic programming.
克隆技术可以制造出包含病人自身遗传基因的胚胎干细胞，或具备胚胎干细胞性能的细胞。
Two ways are put forward to study the feasible and reasonable way for improving the convergence performance of genetic programming.
提出了通过增加突变机会，设计一些新的突变算子两种策略来进行探讨提高遗传程序设计的收敛性能的合理、可行途径。
This paper mainly studies the application of Genetic Programming in fault diagnosis field in order to drive and realize intelligent diagnosis.
这里重点研究了遗传程序设计方法在故障诊断领域中的应用，以推动和实现智能诊断。
On the basis of training data, the optimum model was obtained by genetic programming, and the accuracy of it was verified with the verifying data.
依据训练样本数据，经过遗传规划法求得最优预测模型，并用检验样本数据对所得的预测模型进行检验。
The Repository Method starts where genetic programming ends: decision trees produced by EDDIE can be further processed to improve their performance.
遗传规则的结束标志着智能算法的开始：从EDDIE得到的决策图标能进一步证明遗传规则的作用。
This paper, based on the theories of genetic programming (GP) and evolvable hardware (EHW), provides an extrinsic function level evolution technique.
提出了一种函数级演化硬件的实现方案，这是一种间接演化的方法。
Genetic programming method to find the true formula of grade estimation scientifically was put forward based on the actual data of grade control points.
以品位实测数据为基础，提出了科学发现矿体真实品位估计公式的遗传规划方法。
The method based on genetic programming to automatic model the function need not to estimate empirical formulas, only need the sample data and accuracy.
采用基于遗传程序设计方法实现函数自动建模无需预先确立经验模型，只需指定样本数据和精度要求即可获得回归表达式。
According to the characteristics of the genetic programming, this paper introduced two ideas with three methods for the XOR problems and achieved good results.
根据遗传规划特征，引入两种思路、三种方法对异或问题进行求解，取得了很好的效果。
Combined with the instant Darwin evolution mechanism of thought and the meaning of genetic programming, the evolution process of design thought was represented.
结合思维的瞬间达尔文进化机制和遗传程序设计的思想，阐述了设计思维的进化过程。
Related topics include first principle based and genetic programming (GP) based modeling of refining process, predictive control, predictive inferential control, etc.
研究领域包括打浆过程的机理建模、基于遗传编程的打浆过程建模、预测控制、预测推断控制等。
The principle for determining empirical formulas in mine ventilation engineering by means of genetic programming method is put forward, and an applied example is given.
给出了遗传规划方法确定矿井通风工程中经验公式的原理，并给出了应用实例。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
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