So we attempt to improve furtherly auto-control level of copper continuous extrusion production by fuzzy neural network control technology.
因此尝试采用模糊神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
It is introduced the second part in the intelligent control for speed control of AC motor, the artificial neural network control technology.
介绍在交流电机调速中应用智能控制的第二部分——人工神经网络控制技术。
The decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.
本文采用模糊-神经网络解耦控制技术实现了对三容系统的解耦及液位控制。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
The method of taking continuous qualified product counts as the control objects and the kernel technology of neural network for realizing this method are introduced.
介绍了以连续合格品数为控制对象的方法以及实现该方法的神经网络核心技术。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
Through research on the control method based on neural network, this paper attempts introducing the technology of neural network intellectualized control into waste water treatment.
本文通过对生化反应过程溶解氧神经网络控制方法的研究，探索和尝试了将神经网络智能控制技术引入水处理领域。
Intelligence arc furnace, which makes use of neural network model and numerical model, combines expert system and fuzzy technology, can control the metallurgical quality.
智能电弧炉是应用神经网络模型与数字模型、专家系统、模糊技术等结合起来控制冶金过程。
Combining neural network technology with fuzzy control technology, taking the closed loop control method, the system can control the delivery of the material flow automatically.
该系统将人工智能中的神经网络控制技术和模糊控制技术结合，采用闭环控制方式，实现对带式输送机物料流量的智能自动控制。
So we have attempted to apply the BP Neural Network Technology to improve further the automatic-control ability of the continuous extrusion process of copper.
因此尝试采用BP神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
So we have attempted to apply the BP Neural Network Technology to improve further the automatic-control ability of the continuous extrusion process of copper.
因此尝试采用BP神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
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