This paper proposes a FPGA implementation structure of a fuzzy CMAC.
提出了模糊CMAC的一种基于FPGA的硬件实现方法。
Cerebella model articulation controller (CMAC) among NN is mainly studied here.
本文在神经网络中主要研究了小脑模型关节控制器(CMAC)。
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。
CMAC estimator is trained with a linear model, then the centroid and attitude are predicted.
CMAC估计器先用线性模型进行训练，然后预测目标的质心和姿态。
CMAC is used to assess degradation states quantitatively based on its local generalization ability.
利用CMAC的局部泛化能力定量地评估设备的性能退化。
However, the learning accuracy of CMAC is too low to meet the requirements of application in many fields.
然而，在许多应用领域，CMAC的学习精度不能满足应用要求。
The CMAC controller realizes feed forward control and guarantees the control precision and response speed.
利用CMAC神经网络控制器实现前馈控制，保证系统的控制精度和响应速度。
Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.
基于Q强化学习与CMAC神经网络的移动机器人局部路径规划研究。
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。
Introduced the principle of CMAC. Improved it's performance in various aspect, and realized CMAC algorithm by programming.
介绍CMAC原理，针对基本CMAC算法的不足，从多方面对其进行改进，最终编程实现了CMAC算法。
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。
Also, the influence on learning convergence from compression mapping in those CMAC models with actual neurons is discussed.
对于存在实际层神经元的CMAC模型，讨论了压缩映射对网络学习收敛性的影响。
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。
By using BP neural networks to oltain the model of AC speed adjustable system; another CMAC is used for adaptive controller.
该方法采用一个三层BP网络辩识交流调速系统的特性，用另一个CMAC神经网络作为自适应控制器。
Hang Ratana, the CMAC secretary-general, says an investigation team has been sent to sa 'em commune, in Preah Vihear province.
该中心秘书长拉塔纳说，已经派遣一个调查小组赴柏威夏省进行调查。
A combined CMAC and PID diesel speed-governing system is proposed. It also introduces the diesel model and the control algorithm.
提出了柴油机调速系统CMAC与PID复合控制方案，给出了柴油机调速系统数学模型和控制算法。
A new neural algorithm based on fuzzy Cerebella Model Articulation Controller (CMAC) is researched for the application of industry process.
从工业过程实际应用要求出发，研究开发了基于模糊逻辑系统的小脑模型关节控制器神经网络算法。
A multi layer fuzzy CMAC adaptive control method based on an approximate model is presented in this paper for nonlinear discrete time systems.
针对非线性离散时间系统的控制问题，提出了一种基于近似模型的多层模糊CMAC自适应控制方法。
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。
Output of CMAC was calculated, then, output of CMAC was added to output of controller, total input of system control was gained and controlled it.
计算CMAC的输出，然后与控制器输出相加得到系统总控制输入并进行控制。
This paper presents energy management strategy on the basis of CMAC, and analyzes the influence of CMAC parameters on the performance of controller.
提出了基于小脑模型神经网络(CMAC)控制器的能量管理策略，分析了CMAC参数对控制器性能的影响。
A principal component analysis-cerebellar model articulation controller (PCA-CMAC) model is proposed for machine performance degradation assessment.
提出了一种用于设备性能退化评估的PCA-CMAC（主成分分析小脑模型节点控制器）模型。
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。
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。
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。
A novel method of the on line model parameter estimation based on NFI CMAC is designed. Numerical simulation has shown its feasibility and effectiveness.
基于NFI -CMAC，提出了一种快速、高精度的控制系统参数在线智能辨识方案，仿真实例表明了该方案的可行性与有效性。
Combined with control characteristics of engine air fuel ratio, the CMAC controller which is self adaptive to compensate fuel injection volume is studied.
结合发动机空燃比的控制特征，研究了一种能自适应补偿喷油量的CMAC控制器。
Combined with control characteristics of engine air fuel ratio, the CMAC controller which is self adaptive to compensate fuel injection volume is studied.
结合发动机空燃比的控制特征，研究了一种能自适应补偿喷油量的CMAC控制器。
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