摘要
将数据挖掘技术和神经网络系统有机地运用到铝合金活塞杆,使铝合金活塞杆关键数据挖掘模型有了更广泛的应用,对于铝合金活塞杆的开发具有重大意义。本文提出一种新的数据挖掘方法,它是以改进的神经网络系统为基础,将其应用到铝合金活塞杆关键数据挖掘系统中,研究模型被构建通过三级倒立控制方法的运用,我们把遗传算法模型与神经网络系统有机地结合,使空间搜索能力得到大幅度提升。仿真实验表明,通过一些列的实验对比,新的铝合金活塞杆关键数据挖掘研究方法优势明显,操作精度高以及可控性良好是它的两大主要优点,这就解决了传统方法铝合金活塞杆关键数据挖掘精度低、流程复杂、可控性差的问题。
The technology of data mining and neural network system organically applied to Aluminum Alloy piston rod, the piston rod Aluminum Alloy key data mining mode of thinking has been more widely used, is of great significance for the development of Aluminum Alloy piston rod. This paper presents a new method of data mining, which is based on the neural network system is improved based on its application to Aluminum Alloy piston rod key data mining system, using the research model was constructed by three inverted control method, the genetic algorithm model and neural network system organically, make the space search capacity has been greatly improved. Simulation results show that, by comparing a series of advantages, mining methods Aluminum Alloy piston rod key data of new, high operation accuracy and good controllability are the two major advantages of it. This solves the traditional method of aluminum alloy piston rod, the key data mining is low, the process is complex, and the controllability is poor.
出处
《世界有色金属》
2016年第12S期50-51,共2页
World Nonferrous Metals
关键词
数据挖掘
神经网络系统
铝合金活塞杆
三级倒立
遗传算法
data mining
Neural network system
Aluminum alloy piston rod
three level inverted
genetic algorithm
