The CMAC model of neural network is selected to diagnose central air conditioner, and it is available to make use of the CMAC network by compressing its space of memory.
选用神经网络中的CMAC模型对中央空调系统进行故障诊断，并通过压缩其存储空间使CMAC网络得到实际运用。
With CMAC network compensator, the output of vision impedance control is optimized. Finally, the simulation of control experiment of grasping moving object is carried out.
建立了CMAC网络补偿器对视觉阻抗控制输出量进行了优化，最后进行了运动目标捕捉控制仿真实验。
This paper presents one new method of nonlinear calibration for temperature measurement sensors of power plant, which is based on CMAC neural network and data collecting and monitoring system.
本文充分利用CMAC神经网络的非线性函数逼近功能，并结合电站数据采集和监测系统，提出一种校正电站测温传感器非线性输出特性的新方法。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
Combined CMAC neural network control algorithm with PID control algorithm, a parallel control system for Marine generator excitation system was designed.
结合CMAC神经网络控制算法与PID控制算法设计了船舶发电机励磁并行控制系统。
CMAC is a kind of neural network which simulates human cerebellar mechanism, which has the self-adapt compensation function.
CMAC是模仿人类小脑工作机理的一种神经网络，它具有自适应补偿能力。
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。
A system used for position error analyzing with CMAC neural network is described.
提出一种用CMAC神经网络进行位置误差分析的系统。
The Control strategy based on the CMAC neural network and varying gain compensation has high accuracy and self-adaptive ability in engine air fuel ratio control.
基本CM AC神经网络和变增益补偿的控制策略在发动机空燃比控制中具有良好的精度和自适应性。
We first discuss the structure and principle of the CMAC neural network. Using competitive learning, we develop a new adaptive quantization algorithm.
首先阐述了CMAC神经网络的原理、结构和学习算法，提出了一种新的采用竞争学习原理的非等距自适应量化算法。
A retrieval way for medical tongue-coating images based on fuzzy CMAC neural network is presented in this paper.
笔者提出了一种基于模糊cmac神经网络的医学舌苔图像检索方法。
By using CMAC neural network based on credit assignment this algorithm is implemented, and conventional CMAC's online learning speed and its accuracy are improved at the same time.
采用基于信任分配的CMAC神经网络实现了该算法，显著提高了传统CMAC在线学习的速度与准确性。
Combining it with the adaptive linear neuron network, the multiplex control strategy takes the dynamic errors and given signals of the system as input signals to the CMAC neural network.
该控制器以系统动态误差和给定信号量作为CMAC的激励信号，并与自适应线性神经元网络相结合构成系统的复合控制。
This paper designed a control model, which is constructed based on CMAC neural network and combined with a PID controller.
提出利用CMAC神经网络与PID的复合控制，实现非线性系统控制。
This paper presents a neural network control system based on CMAC, which consists of a CMAC neural network controller and a BP network model identifier.
提出了一种基于CMAC神经网络控制系统，该系统由CMAC神经网络控制器和BP模型辨识网络组成。
Aimed at the characteristics of coal bed methane, an air-fuel ratio control method which is based on CMAC neural network and PID is adopted and its arithmetic is elaborated in this article.
针对煤层气的特性，本文提出了一种基于CMAC神经网络和PID复合控制的空燃比控制方法，并对其算法进行了详细的阐述。
CMAC neutral network controller is designed, which receives the assembly force signals, CMAC System of Active-Passive compound Compliance in the Robotic assembly Process is setup, and good res...
设计了以装配力信号为输入的小脑模型神经网络，建立了机器人复合柔顺装配作业的CMAC系统，收到良好的装配效果。
The network offers several advantages such as high learning precision and much smaller memory requirement without datacollision problem compared to the conventional CMAC-type neural network.
该系统相对于传统的CMAC神经网络具有学习精度高、收敛速度快、所需内存单元少等优点。
CMAC is a local generalization neural network. Comparing with BP network, it has quicker convergent rate and better adaptability, thus it is suitable to dynamic real time on-line control.
CMAC神经网络是一个局部泛化网络，相比BP网络有更快的收敛速度和更好的适应性，非常适合用于动态在线实时控制。
CMAC neural network is a kind of local network with linear structure.
CMAC神经网络是一种具有线性结构、算法简单的局部逼近网络。
In This paper, an on-line learning controller based on CMAC with Gauss Basis Function Neural Network is presented, and its algorithm is discussed.
本文提出了基于高斯基函数CMAC在线学习的控制方案，并给出了相应的学习算法。
In This paper, an on-line learning controller based on CMAC with Gauss Basis Function Neural Network is presented, and its algorithm is discussed.
本文提出了基于高斯基函数CMAC在线学习的控制方案，并给出了相应的学习算法。
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