Welcome![Sign In][Sign Up]
Location:
Search - RBF fuzzy

Search list

[AI-NN-PR一种基于模糊径向基函数神经网络的自学习控制器

Description: 一种基于模糊径向基函数神经网络的自学习控制器-based on fuzzy RBF neural network learning controller.
Platform: | Size: 180224 | Author: 方锐 | Hits:

[matlabchap4_10

Description: 基于模糊RBF网络整定的PID控制,matlab源程序-based on fuzzy RBF network tuning PID control, Matlab source
Platform: | Size: 1024 | Author: 满延杰 | Hits:

[matlabnnfuzzy

Description: 用RBF神经网络和模糊控制方法控制二级倒立摆源码-Using RBF neural networks and fuzzy control method to control a double inverted pendulum source
Platform: | Size: 52224 | Author: 王启源 | Hits:

[AI-NN-PRpid

Description: :针对当前电力机车调速系统存在的一些问题,简要分析了直流电力机车调速原理,提出了 控制系统的硬件结构,并且设计出Fuzzy + PID复合结构的控制器,提高了控制系统的动态响应速 度和稳态误差 同时利用RBF神经网络自整定PID参数解决了PID控制中的参数整定问题-err
Platform: | Size: 337920 | Author: | Hits:

[Othershenjingwangluo

Description: 两本神经网络方面的经典电子书 人工神经网络导论.pdf 人工神经网络实用教程.pdf 神经网络是智能控制技术的主要分支之一。本书的主要内容有:神经网络的概念,神经网络的分类与学习方法,前向神经网络模型及其算法,改进的BP网络及其控制、辨识建模,基于遗传算法的神经网络,基于模糊理论的神经网络,RBF网络及其在混沌背景下对微弱信号的测量与控制,反馈网络,Hopfield网络及其在字符识别中的应用,支持向量机及其故障诊断,小波神经网络及其在控制与辨识中的应用。-Two neural networks classic book Introduction to Artificial Neural Networks. Pdf Practical Guide artificial neural network. Pdf neural network is the intelligent control technology, one of the main branch. The main contents of this book are: the concept of neural networks, neural network classification and learning methods, the former to the neural network model and its algorithm, the improved BP network and its control, recognition modeling, based on genetic algorithm neural network, based on fuzzy the theory of neural network, RBF network and its application in the context of chaotic signals of weak measurement and control, feedback network, Hopfield Network and Its Application in character recognition, support vector machine and its fault diagnosis, wavelet neural network and its application in control and identification applications.
Platform: | Size: 7793664 | Author: 梁健 | Hits:

[AI-NN-PRGAP-RBF

Description: 模糊神经网络逼近与分类,模糊规则提取,快速增长与删减网络。-Fuzzy neural network approximation and classification, fuzzy rule extraction, with the deletion of the rapid growth of the network.
Platform: | Size: 3072 | Author: 王宁 | Hits:

[AI-NN-PRGGAP-RBF

Description: 模糊神经网络实现函数逼近与分类,实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
Platform: | Size: 463872 | Author: 王宁 | Hits:

[AI-NN-PR644998fnn-ok

Description: 模糊滑模神经网络RBF在倒立摆系统的应用-Fuzzy sliding-mode neural network RBF at the inverted pendulum system
Platform: | Size: 1024 | Author: zhaominghui | Hits:

[matlabMATLABprogram

Description: 基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码,其中包含BP pid,CMAC PID,RBF PID,BP数值逼近算法,BP预测控制以及模糊PID。-Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID, RBF PID, BP Numerical approximation algorithm, BP predictive control and fuzzy PID.
Platform: | Size: 9216 | Author: 但杨文 | Hits:

[AI-NN-PRFUZZY-RBF-PID

Description: 基于模糊RBF网络整定的PID控制,采用增量PID形式-RBF network based on fuzzy tuning of PID control, PID form of incremental
Platform: | Size: 1024 | Author: wutiebing | Hits:

[MiddleWare669703566

Description: 本代码为基于模糊RBF辨识的自适应PID控制,比较常规PID具有很明显优势控制效果。-The code for identification based on fuzzy adaptive PID control of RBF, compared with the obvious advantage of conventional PID control performance.
Platform: | Size: 1024 | Author: wade | Hits:

[AI-NN-PRchap8

Description: 模糊RBF网络 高级神经网络 基于模糊RBF网络的逼近算法 Pi-Sigma神经网络-High fuzzy RBF network based on fuzzy RBF neural network approximation algorithm for network Pi-Sigma Neural Networks
Platform: | Size: 9216 | Author: 方久春 | Hits:

[AI-NN-PRfuzzy-clustering-algorithm-for-hierarchica-reinfor

Description: 基于模糊聚类的分层强化学习算法Based on fuzzy clustering algorithm for hierarchical reinforcement learning-Based on fuzzy clustering algorithm for hierarchical reinforcement learning
Platform: | Size: 171008 | Author: tec1234 | Hits:

[matlabPOSRBFNN

Description: mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
Platform: | Size: 8192 | Author: zhaoyunyuan | Hits:

[matlabRBF-neuro-network

Description: Radius Basic Function 神经网络的预测程序-Radius Basic Function neural network prediction program
Platform: | Size: 18432 | Author: h | Hits:

[matlabfuzzy-rbf

Description: 结合模糊和径向基的综合算法,可建模仿真,需要的可以下载-And RBF fuzzy comprehensive algorithm, modeling and simulation, need can be downloaded
Platform: | Size: 7168 | Author: zhaolu | Hits:

[Data structsRBF

Description: 针对传统的PID控制器参数固 定而导致在控制中效果差的问题,提出一种基于模糊RBF神经网络智能PID控制器的设计方法。该方法结合了模糊控制的推理能力强与神经网络学习能力强的特 点,将模糊控制与RBF神经网络相结合以在线调整PID控制器参数,整定出一组适合于控制对象的kp,ki,kd参数。将算法运用到电机控制系统的PID 参数寻优中,仿真结果表明基于此算法设计的PID控制器改善了电机控制系统的动态性能和稳定性。-Traditional PID controller parameters fixed in the control effect caused by the problem of poor design method based on fuzzy RBF Neural Network Intelligence PID controller. The method combines strong reasoning ability of fuzzy control and neural network learning ability of the characteristics of the RBF neural network and fuzzy control are combined to adjust the PID controller parameters online, fix the whole set is adapted to control the object kp, ki, kd parameter. The algorithm is applied to the motor control system PID parameter optimization, the simulation results show that the algorithm based on the design of PID controller to improve the dynamic performance and stability of the motor control system.
Platform: | Size: 2048 | Author: 马腾 | Hits:

[Othermatlab-FUZZY

Description: 基于模糊控制和RBF神经网络结合的负荷预测研究,PPT-Load forecasting based on fuzzy control and RBF neural network, PPT
Platform: | Size: 1800192 | Author: antry | Hits:

[matlab第11章 模糊RBF网络

Description: 模糊控制器的设计不依靠被控对象的模型,而是依靠控制专家或操作者的经验知识。模糊控制的突出优点是能够比较容易地将人的控制经验溶入到控制器中,但若缺乏一定的控制经验,很难设计出高水平的模糊控制器。而且,由于模糊控制器采用了IF-THRN控制规则,不便于控制参数的学习和调整,使得构造具有自适应的模糊控制器较困难(The design of fuzzy controller does not depend on the model of the controlled object, but depends on the experience of the expert or operator. The prominent advantage of fuzzy control is that it is easy to integrate human control experience into the controller, but it is difficult to design a high level fuzzy controller without a certain control experience. Moreover, because the fuzzy controller adopts the IF-THRN control rule, it is difficult to study and adjust the control parameters, so it is difficult to construct an adaptive fuzzy controller)
Platform: | Size: 455680 | Author: pingyeliang | Hits:

[matlabMATAB神经网络30个案例分析

Description: 该PDF共有30个MATLAB神经网络的案例,包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍,同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM, SOM, Hopfield, LVQ, Elman and wavelet neural network; also contains PSO (Li Ziqun), grey neural network, fuzzy neural network, probabilistic neural network, genetic algorithm etc.. The PDF as a graduate design, graduate design and doctoral low grade project design reference books, but also for the vast number of scientific research personnel also have a high reference value.)
Platform: | Size: 47037440 | Author: 那又怎样 | Hits:
« 12 »

CodeBus www.codebus.net