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Description: 基于BP神经网络的模糊控制算法程序，该程序完整，可在matlab环境下运行
-based on BP neural network algorithm for fuzzy control procedures, the integrity of the process can run under Matlab
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Size: 1024 |
Author: 安飞 |
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Description: 模糊神经控制基于网络bp的源代码用于训练学习-Fuzzy neural network-based bp control the source code for training to learn
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Size: 5120 |
Author: 李扬 |
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Description: nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve special needs.
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Size: 10865664 |
Author: 魏建明 |
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Description: matlab格式源代码。功能：模糊BP神经网络集成解耦算法和应用于控制优化模型问题。-matlab source code format. Function: fuzzy BP neural network ensemble decoupling control algorithm and optimization model applied to the problem.
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Size: 5120 |
Author: magic |
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Description: 用BP神经网络实现模糊控制规则为T=int[(e
+ec)/2]的模糊神经网络控制器。可以改变隐层节点数和学习速率。网络训练算法是变学习速率法。-BP neural network with fuzzy control rules for the T = int [(e+ Ec)/2] of the fuzzy neural network controller. Can change the hidden layer nodes and learning rate. Network training algorithm is a variable learning rate method.
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Size: 4096 |
Author: 韩梅 |
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Description: 一种改进的BP算法在模糊神经网络中的应用，性能得到很好的改善。-An Improved BP Algorithm in the fuzzy neural network applications, performance is very good improvement.
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Size: 349184 |
Author: zhangxiang |
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Description: 分类判别中，bayes判别的确具有明显的优势，与模糊，灰色，物元可拓相比，判别准确率一般都会高些，而BP神经网络由于调试麻烦，在调试过程中需要人工参与，而且存在明显的问题，局部极小点和精度与速度的矛盾，以及训练精度和仿真精度间的矛盾，等，尽管是非线性问题的一种重要方法，但是在我们项目中使用存在一定的局限，基于此，最近两天认真的研究了bayes判别，并写出bayes判别的matlab程序，与spss非逐步判别计算结果一致。-Classified Identifying, bayes discriminant does have a distinct advantage, with the fuzzy, gray, matter-element and extension compared to determine the exact rate will be higher in general, and the BP neural network trouble as a result of debugging, in the need to manually debug the process of participation, but also obvious problems, the local minimum point and the accuracy and speed of contradictions, as well as simulation training accuracy and precision of the conflict between, and so on, in spite of nonlinear problems is an important method, but the use of our project there are certain limitations, based on the Here, seriously the last couple of days to study the discriminant bayes and bayes discriminant of matlab to write procedures, and non-spss stepwise discriminant calculation results.
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Size: 4096 |
Author: lili |
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Description: 数据挖掘算法的实现，基于模糊聚类的最大树算法，数据集是darpa99,也就是KDD-CUP99中采用的数据集-The realization of data mining algorithms, based on fuzzy clustering of the largest tree algorithm, a data set is darpa99, which is used in KDD-CUP99 data set
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Size: 32768 |
Author: 谢松林 |
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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.
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Size: 9216 |
Author: 但杨文 |
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Description: source code of simlate function of fuzzy bp neural network
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Size: 1024 |
Author: z |
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Description: source code of train function of fuzzy bp neural network
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Size: 1024 |
Author: z |
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Description: 高木关野模糊系统（将高木关野模糊系统应用到BP神经网络中）-Takagi Sugeno fuzzy system (to Takagi Sugeno fuzzy system applied to the BP neural network)
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Size: 2048 |
Author: tiantian |
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Description: BP神经网络与模糊控制的联合控制程序，你一定能有所收获的-BP neural network and fuzzy control, joint control procedures, you will be able to be harvested
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Size: 1024 |
Author: zh |
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Description: 不用到matlab工具箱，进行神经网络控制器设计，采用BP方法-Do not have to matlab toolbox, the neural network controller design, using BP method
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Size: 1024 |
Author: 海朝 |
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Description: 神经网络控制的Matlab程序代码的详细解读，通过长时间的使用神经网络控制我对该算法深刻认识都清清楚楚写在每一句代码的后面，包括如何修改，基本可以涵盖多种神经网络控制（模糊神经网络，自适应神经网络等等）相信这个程序解读对本科及硕士的毕业设计是有极大帮助的-Matlab neural network control of the detailed code interpretation, through the use of neural networks a long time to control my profound understanding of the algorithm are clearly written in the code behind each one, including how to modify the basic can cover a variety of neural network control ( fuzzy neural networks, adaptive neural network, etc.) believe that this interpretation of the undergraduate and master' s program graduate design is of great help
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Size: 9216 |
Author: 大冰 |
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Description: BP神经网络与模糊算法联合控制的MATLAB程序代码。-Joint control of BP neural networks and fuzzy algorithm MATLAB code.
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Size: 1024 |
Author: 李永超 |
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Description: 基于模糊算法的神经网络方法，matlab 编写。-Neural network based on fuzzy algorithm, matlab prepared.
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Size: 18432 |
Author: msli |
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Description: 本书共有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。-The book consists of 30 MATLAB neural network case (including program can be run), including BP, RBF, SVM, SOM, Hopfield, LVQ, Elman, wavelet neural networks, etc. also contains the PSO (PSO), gray neural networks, fuzzy networks, probabilistic neural networks, genetic algorithm optimization and so on.
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Size: 28765184 |
Author: 万二 |
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Description: MATLAB 神经网络源代码，包括BP网络、RBF网络、模糊神经网络、小波神经网络、PSO群优化等共43个网络源代码，并有实际案例-MATLAB neural network source code, including BP network, RBF network, fuzzy neural network, wavelet neural network, PSO Swarm Optimization, a total of 43 network source code, and there are actual cases
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Size: 25954304 |
Author: yishuang |
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Description: 智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy Control）方法等。(There are many ways on autonomous mobile robot obstacle avoidance system
designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.)
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Size: 444416 |
Author: zallen
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