您要查找的是不是：
- CMAC neural network is a kind of local network with linear structure. 摘要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。
- C. C. Lin and F. C. Chen, “Improved CMAC neural network control scheme,” Electronics Letters, Vol.35, No.2, pp.157-158, 1999. 赖玉彬，模糊可微分小脑模型控制器之设计与应用研究，国立台湾师范大学工业教育所，硕士论文，2003。
- 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。
- A reinforcement learning controller based on CMAC neural networks using triangulation was studied and applied to the learning control of intercepting a ball in the RoboCup. 研究了一种基于三角剖分的小脑模型的增强学习控制器设计方法，并应用于机器人足球中单机器人截球的学习控制中。
- An improved CMAC neural network controlling algorithm was designed, and the former learned times of the addressed hype-cubes was used as the credibility. 摘要提出一种改进的CMAC神经网络控制算法，利用满打满葬单元的先前学习次数作为可信度；
- Controlled object was described and set up object model with differential equation in electric servo friction compensation controller based on CMAC neural network. 基于CMAC神经网络的电动伺服摩擦补偿控制器用微分方程描述被控对象并建立其模型。
- Li Hui,Yang Shunchang.Study of control strategies for hydrogenerator system with double fed generators based on cmac neural network[J].Proceedings of the CSEE,2004,24(12):187-192. [7]李辉;杨顺昌.;基于CMAC的双馈水轮发电机系统控制策略研究 [J]
- Li Hui,Yang Shunchang.Study of control strategies for hydrogenerator system with doubly fed generators based on CMAC Neural network[J].Proceedings oftheCSEE,2004,24(12):187-192. [12]李辉;杨顺昌.;基于CMAC的双馈水轮发电机系统控制策略研究[J]
- 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CMAC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。
- The comparison between two results shows that CMAC neural network can work more steadily and faster in electricity price short-term forecasting than BP. 两种预测结果的对比表明，CMAC神经网络更能快速稳定地进行短期电价预测。
- First, we modify some computation and determine the specifications and parameters in order to reduce the complexity of hardware design in the CMAC neural network. 首先，我们必须先修改CMAC类神经网路中的计算形式，并订定其规格，以降低CMAC类神经网路于电路设计时的难度。
- BMAC neural network has been established by the introduction of B-splines into CMAC neural network. Ways of establishing BMAC and the specialties of BMAC output and its receptive field functions are described in details. 论述了将n阶B样条函数运用到CMAC网络中形成BMAC网络的过程;并讨论了BMAC网络感受域函数和网络输出特性.
- The structure of Higher-order CMAC neural network and the address calculation method of active basis functions in hidden layer are studied. In this paper several calculation methods of Higher-order Basis Function are presented. 对高阶 CMAC神经网络的结构和工作原理进行了研究 ,提出了中间层作用函数地址的计算方法 ,给出了计算高阶基函数的不同方法。
- A multi-step Q-learning algorithm was employed to overcome the slow convergence rate of standard Q-learning, and CMAC neural network was used to generalize the continuous state space. 为解决连续过程的学习问题，采用CMAC神经网络对连续状态空间进行泛化。
- 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。
- The Higher-order CMAC neural network fuzzy controller for depth control of Autonomous Underwater Vehicle (AUV) is trained from example pairs which are produced by fuzzy depth controller of AUV. 利用高阶CMAC神经网络对水下机器人模糊深度控制器进行了学习。
- APPLICATION OF CMAC NEURAL NETWORK TO CSTR SYSTEM MODELILING CMAC神经元网络在CSTR系统建模中的应用
- The Application of CMAC Neural Network to DTC Control System CMAC神经网络控制在直接转矩控制系统中的应用
- The CMAC Neural Network Based Learning Control of the CSTR System CSTR系统的基于CMFC神经元网络的学习控制研究
- A Novel CMAC Neural Network for Correcting the Sensor'Nonlinear Errors 用于传感器非线性误差校正的新颖神经网络
