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。
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。
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。
This paper applies genetic programming (GP) to the multi sensor failure detection and recovery, which is a new technique applied in the area of the multi sensor data fusion. GP is based on GA.
本论文主要是研究遗传编程（GP）在多传感器故障的数据融合诊断与恢复中的应用，即用一种全新的数据处理方法应用于多传感器信息融合领域。
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。
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。
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