搜索资源列表
CMAC
- 一个神经网络小脑CMACmatlab算法例子- A nerve network cerebellum CMACmatlab algorithm example
cacmack2
- 基于信任度分配的cmac小脑神经网络算法-based on the distribution of trust cmac small brain Network
CMAC
- CMAC小脑模型神经网络的具体实现算法。
CMACsimulink
- 小脑模型 仿真二维随机函数
CMAC
- 一个神经网络小脑CMACmatlab算法例子- A nerve network cerebellum CMACmatlab algorithm example
GA_CMAC_BP_BLDCM
- 基于遗传算法的小脑模型控制器对永磁无刷直流电机的数学模型进行仿真。内附全套程序及仿真模型。-Cerebellar model based on genetic algorithm for permanent magnet brushless DC motor controller, a mathematical model to be simulated. Containing a complete set of procedures
cmacsnpid_cmacpid1_comp
- 自己写的小脑模型与单神经元并行控制程序，适合初学者研究或改进-Write their own models and single-neuron cerebellar parallel control program, suitable for beginners study
FF
- 小脑模型的非线性模型识别小脑模型的非线性模型识别-CMAC Identification for nonlinear model
CMACnoLEARN
- 自己写的CMAC 小脑神经网络逼近非线性函数-Write your own CMAC CMAC approximate nonlinear functions
CMAC
- 小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近-CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation
chengxu
- 最新的自适应小脑神经网络在滑膜变结构中的应用。-New adaptive neural network of small changes in the structure of synovial membrane.
691609664cmac
- 小脑神经关节控制模型，示例程序，小脑神经关节控制模型-Joint control of small brain model, sample program, the joint control of small model of brain
362493840CMAC
- 小脑神经关节控制，小脑神经关节控制资料，程序，-Cerebellar joint control, joint control of small brain data, the program
CMAC
- 很经典的小脑模型神经网络的仿真，希望大家喜欢-Classic CMAC neural network simulation, hope you like
cmcc
- matlab下的，小脑神经网络例子，应用小脑神经网络，拟合正玄曲线。-matlab and down and little brain network example, application of small brain networks, fitting sine curve.
SingleNeuralNetPID
- 智能控制算法，小脑模型，神经网络，函数逼近-Intelligent control algorithm, cerebellar models, neural networks, function approximation
CMAC and PID Concurrent Control
- CMAC小脑神经网络模型，基于matlab，供学习交流(CMAC cerebellar neural network model, based on MATLAB, for learning and communication)
CMAC逼近非线性函数
- 利用小脑模型神经网络逼近非线性函数，MATLAB编写m文件实现，给出逼近误差(Cerebellar model neural network is used to approximate nonlinear functions. MATLAB is used to write M files, and approximation error is given.)
bpandcmac
- 基于小脑模型神经网络和BP网络对同一非线性系统进行逼近(Approximation of the same nonlinear system based on cerebellar model neural network and BP network)