As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.
作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。
This article presents the decision of obstacle avoidance behavior, robot moving control based on neural network during obstacle avoidance process.
介绍了避障行为的决策、基于神经网络的机器人在避障过程中的运动控制等。
This paper proposes a method of using neural network model reference adaptive controller to control machining process.
本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。
In this paper, flat control system based on neural network for thin gauge high speed roll casting process is introduced.
为此，作者研究一种基于人工神经网络技术的超薄快速铸轧过程板形控制方案。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
在控制过程中CMAC神经网络控制器经过不断学习，最终在控制系统中发挥主要控制作用。
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
A direct inverse control scheme of FCMAC neural network is presented for vector control AC servo system. The principle analysis and the design realizing process of the system are given in detail.
本文针对矢量控制交流伺服系统，提出了一种模糊小脑模型神经网络直接逆控制的方案，给出了较详细的原理分析及实现过程。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
The paper introduces a control system of heating process furnace based on the fuzzy neural-network. The system has advantages of simple operation, strong robustness and good reliability.
介绍一种基于模糊神经网络的热处理电加热炉控制系统。本系统操作方便、运行可靠，具有较强的鲁棒性和可靠性。
Because fuzzy neural network is simple and practical, it has been widely used in industrial process control, signal processing and other fields.
模糊神经网络由于其简单实用，已被广泛用于工业过程控制、信号处理等领域。
Based on analyzing the characteristics of Nontoxic Process for Extraction Gold, a fuzzy-neural network control algorithm is prevailed.
文中在分析了无毒提金工艺过程特性的基础上，提出了模糊神经网络控制的算法。
The algorithm guarantees the network system robustness during the whole control process and USES RBF neural network as adaptive law to eliminate the effect from the disturbance of UDP flow.
该算法保证网络系统在整个控制过程中的鲁棒性，并且使用RBF神经网络作为自适应律来消除UD P流干扰对系统的影响。
Simulation results show that the designed system is of fast response, non-overshoot and it is more effective than the conventional adaptive control of machining process based on neural network.
仿真结果表明，该系统响应快，无超调，比传统的加工过程神经网络自适应控制具有更好的控制效果。
In this paper, a neural network controller is designed for ash content control of papermaking process, neural networks are trained by using the output error of the controlled plant directly.
对于非线性，大时延、变参数的造纸过程灰份含量的控制，本文给出了一种神经网络控制方法。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
In this paper, some intelligent optimization control technologies, such as pattern recognition, neural network and expert system, and their application on the process of oil making are discussed.
简单介绍了模式识别、神经网络和专家系统等智能优化技术及其在石油炼制过程中的应用。
The results of experiment on the pulse TIG welding process show that the fuzzy inference-neural network control scheme presented in this paper is effective.
将上述方法用于实际脉冲TIG焊过程控制，结果表明模糊神经网络控制方案有效。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
Combining information entropy, wavelet analysis with neural network, an adaptive control system and an adaptive control algorithm are presented for machining process based on wavelet neural network.
把信息熵、小波分析和神经网络相结合，提出了基于小波神经网络的加工过程自适应控制系统度其自适应拉制算法。
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。
This result proved that RBF neural network can be used in rolling process control successfully and has the ability to satisfy production.
这充分证明rBF网络可以成功用于轧制过程控制并满足实际生产的需要。
This result proved that RBF neural network can be used in rolling process control successfully and has the ability to satisfy production.
这充分证明rBF网络可以成功用于轧制过程控制并满足实际生产的需要。
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