论文论述了利用此嵌入式数控机床联网系统解决数控机床网络化问题的优点。
It dissertates the advantages of using the embedded system to solve the problems in the thesis.
针对数控机床网络化的发展趋势，本文提出一种新的数控程序网络传输技术。
Based on the developmental tendency of nc machine tool with net, this paper puts forward a new technology of transferring nc program by net.
本文提出了一种新型的神经网络结构的位置控制器，给出了该控制器的学习算法，并进行了数控机床位置伺服系统的仿真实验。
This paper proposes a new type position controller with neural network structure, gives it 's learning rule, and do the simulation experiment on position servo system of NC machine.
提出了一种改进的BP神经网络模型应用于数控机床的故障诊断方法。
This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine.
分析了数控机床通讯和管理的现状，阐述了CAXA的网络D NC的基本原理及数据管理方式。
The present situation of communication and management of NC machine tool is analyzed and CAXA's basic theory of Internet DNC and its data management pattern are also given.
文中使用径向基函数理论建立了基于RBF神经网络的数控机床热误差数学模型。
A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.
本文数控机床故障诊断的贝叶斯网络模型的结构确立，以传统的故障树分析为基础。
On the basis of analyzing the advantages of Bayesian Networks when researching problems of uncertainty, a concrete model about the quality of workpiece of CNC lathe was established.
本文提出了基于人工神经网络的可靠性预测方法，建立了用于数控机床可靠性预测的三层BP神经网络模型，给出了具体的算法。
This paper puts forward the ways of reliability prediction based on artificial neural networks, builds the three layers BP neural networks model, and presents its arithmetic in detail.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
网络化制造是21世纪的主要生产模式，采用网络技术来管理数控机床也就成为必然。
Networked manufacturing is main manufacturing paradigm in 21st century, so that it is necessary trend to manage NC machine tool based on network.
网络化制造是21世纪的主要生产模式，采用网络技术来管理数控机床也就成为必然。
Networked manufacturing is main manufacturing paradigm in 21st century, so that it is necessary trend to manage NC machine tool based on network.
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