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model126.m
- 该源程序是属于matlab软件的 模糊神经网络控制范畴的 可是自行该参数实现 该源程序是属于matlab软件的 模糊神经网络控制范畴的-to realize the fuzzy neural network bsed on matlab to realize the fuzzy neural network bsed on matlab
Fuzzyneuralnetwork
- 模糊神经网络对地基基础变形沉降的预测模型-Fuzzy neural network to predict foundation settlement
57147
- RADIAL FUZZY NEURAL NETWORK PROGRAMME SOURCE CODE FOR MATLAB-RADIAL FUZZY NEURAL NETWORK PROGRAMME SOURCE CODE FOR MATLAB
pso_pid
- PID控制器的性能取决于Kp、Ki、Kd这3个参数是否合理，因此，优化PID控制器参数具有重要意义。目前，PID控制器参数主要是人工调整，这种方法不仅费时，而且不能保证获得最佳的性能。PSO已经广泛应用于函数优化、神经网络训练、模式分类、模糊系统控制以及其它应用领域，本案例将使用PSO进行PID控制器参数的优化设计。-Performance of PID controller depends on the Kp, Ki, Kd these three parameters are reasona
pattern
- Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
fcm
- 利用模糊神经网络的预测算法来机型水质指标的评价 -Prediction algorithm using fuzzy neural network model to uate water quality indicators
CHAP9
- code matlab for ebook STABLE ADAPTIVE CONTROL AND ESTIMATION FOR NONLINEAR SYSTEMS: NEURAL AND FUZZY APPROXIMATOR TECHNIQUES J.T. Spooner, M. Maggiore, R. Ordonez, and K.M. Passino-code matlab for ebook STABLE ADAPTIVE CONTROL AND ESTIMATION
chapitre10
- matlab code of chapitre10 of ebook STABLE ADAPTIVE CONTROL AND ESTIMATION FOR NONLINEAR SYSTEMS: NEURAL AND FUZZY APPROXIMATOR TECHNIQUES J.T. Spooner, M. Maggiore, R. Ordonez, and K.M. Passino-matlab code of chapitre10 of ebook STABLE ADAPT
chapitre13
- matlab code for chapter13 of ebook STABLE ADAPTIVE CONTROL AND ESTIMATION FOR NONLINEAR SYSTEMS: NEURAL AND FUZZY APPROXIMATOR TECHNIQUES J.T. Spooner, M. Maggiore, R. Ordonez, and K.M. Passino-matlab code for chapter13 of ebook STABLE ADAPTI
matlab
- 有关模糊神经网络matlab实现问题，已运行，可通过(The realization of fuzzy neural network matlab)
模糊神经网络matlab实现
- 实现模糊神经网络 参数修正过程。 增加方式，非批处理方式迭代(fuzzy neural network)
FuzzyNNpid
- 采用模糊神经网络PID控制，使系统输出跟踪上输入。(Use fuzzy neural network PID control and make the system output track the input.)
MATAB神经网络30个案例分析
- 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
模糊神经网络逼近二维非线性函数
- 采用模糊神经网络逼近二维非线性函数的matlab实例，matlab2008以上可以运行(Fuzzy neural network is used to approximate two dimensional nonlinear function of MATLAB instance, and matlab2008 can be used to run)
智能控仿真程序
- 主要是智能控制算法程序，包含了专家系统，模糊控制，神经网络各种智能控制算法。(Mainly is the intelligent control algorithm, including expert system, fuzzy control, neural network intelligent control algorithm.)
程序
- 根据所学过的BP网络设计及改进方案设计实现模糊控制规则为T = int((e+ec)/2)的模糊神经网络控制器，其中输入变量e和ec的变化范围分别是：e = int[-2, 2]，ec = int[-2, 2]。网络设计的目标误差为 0.001。(According to the BP network design and improvement plan that we have learned, we design a fuzzy neural network controller with
T-S 遗传算法优化
- 用遗传算法优化T-S模糊神经网络，实现数据预测，能达到不错的效果。(Optimization of T-S fuzzy neural network by genetic algorithm,Data prediction can be realized and it Can achieve a good effect.)
Three_PID_Compare_withDistrup
- 用于对比分析三种励磁方式下控制器性能比较，有常规控制器，模糊控制器，神经网络控制器。(Used for comparative analysis of three kinds of excitation mode controller performance comparison,a conventional controller, fuzzy controller, neural network controller.)
PSO
- 粒子群优化算法(PSO：Particle swarm optimization) 是一种进化计算技术（evolutionary computation）。 源于对鸟群捕食的行为研究。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解． PSO的优势：在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。(The particle swarm optimization (PSO:Part
Color Reduction and Quantization
- Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c