搜索资源列表
gaot2
- MATLAb语言的遗传算法工具箱，比较全。-MATLAb language of genetic algorithm toolbox, the entire comparison.
MININNET
- Neural network中MININNET 设计用MATLAB 关于生成内容,坚固网络,净化神经网,类的比较,培训权限等的所有程序-Neural network design which MININNET on MATLAB generated content, a robust network, purification neural network, the type of comparison, the powers of the training all the procedur
immunitytravel
- 用matlab实现免疫遗传算法求解tsp问题，免疫算法和遗传算法的比较-using Matlab achieve immune genetic algorithm tsp issues, immunization and Genetic Algorithm comparison
matlab-Image_Processing
- 这是一些有关《神经网络模式识别及其实现》的源程序 比较经典，有很大的参考价值-This the "pattern recognition and neural network to achieve" classic comparison of the source, a great reference value
travel559
- 基于matlab语言的程序设计,包括人工免疫算法 遗传算法程序比较.用于tsp问题研究-based on the Matlab programming language. including artificial immune algorithm Genetic Algorithm comparison. Research for tsp
nnforcast
- 本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。此程序运用到了很多Matlab编程中常用到的表达方式，还有一些神经网络编程的基本概念的表达，如归一化的表达。希望能对别人有所帮助.-the procedures under the trained network file ANN.mat anticipating new data files, to be mean-square error. and the mapping out of t
shuiwenNeuralNetwork
- 神经网络预测水文年。使用标准BP网络、L-M算法、径向基数（RBF）网络算法，分别对水文年尽心预测和对比-Neural network hydrological year. Using the standard BP network, LM algorithm, radial base (RBF) network algorithm, respectively, years of dedication to the hydrological forecast and comparison
FOA
- 台湾学者新发现的一种新型的算法，可以和遗传算法、蚂蚁算法对比学习。[潘文超]果蠅最佳化演算法_簡體版-Taiwan scholars discovered a new type of algorithm that can and genetic algorithms, ant algorithms comparison study. [Pan Chao] Drosophila optimization algorithms _ Simplified
Matlab
- Matlab6.0版本中神经网络工具箱训练算法的使用与比较-Matlab6.0 version of neural network training algorithm toolbox use and comparison
GA_BP-pso_bp
- 遗传算法与神经网络混合的算法程序、粒子群优化与神经网络混合的算法程序，可以进行算法结果的比较-Genetic algorithm and neural network algorithm for mixed procedures, particle swarm optimization and neural network algorithm for mixed procedures, can be the result of comparison algorithm
FuzzyClusteringToolbox
- 使用matlab实现的各种聚类算法,其中包括具体例子进行详细说明。-The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one s aim. In Chapter 1 of the downloadable related documentation on
Abouttheuseoffuzzyclusteringtechniquesforfuzzymode
- 模糊聚类算法各种算法的介绍，以及比较。并介绍了聚类的应用。-Fuzzy clustering algorithm, introduced a variety of algorithms, as well as the comparison. And introduces the application of clustering.
invertedpendulum
- 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制B
bpprogramming
- 这个程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。此程序运用到了很多Matlab编程中常用到的表达方式，还有一些神经网络编程的基本概念的表达，如归一化的表达。希望能对大家有所帮助-This program the trained network file ANN.mat predict new data file, get the mean square error, and forecast data and the original d
fuzzyanfis
- TS的模糊神经网络程序，包括数据对比输出，网络均方差输出对比，隶属度函数对比-TS fuzzy neural network program, including the comparison of the data output, the network mean square output contrast, comparison of membership functions
bijin_bijiao
- 高斯、加斯比、SOR三种逼近算法的比较，matlab实现-Gaussian, Gatsby, SOR comparison of three approximation algorithms, matlab implementation
LDPC
- 这是关于LDPC信道编码模块设计的程序 打开源程序，先运行gengrate_h.m程序，陆续将码长设置为756bit，列重设置为3，行重设置为9。在Workspace中同时将H、A、B、C、D、E、Hget、Fget、g、Tget这是个变量选择另存为encode_in.mat 格式。再运行main_encode.m进行编码，主程序运行后，在当前目录下，自动生成编码结果文件“encode—out.mat”，这将作为下一次扩频调制仿真实验的的输入信号。最后分别查看Workspace中的变量s
rengongshenjingwangluo--
- 人工神经网络对数据学习训练并有模糊控制进行对比（附matlab源程序）-Artificial neural network learning and training data and fuzzy control comparison (with matlab source)
cf416
- Convolution operation is intended to signal and image rendering, Comparison of soft threshold and hard threshold and today various threshold calculation method, PSS primary synchronization signal in the time domain simulation related.
程序
- 粒子群算法优化的BP神经网络与传统BP神经网络对比(Comparison between BP neural network optimized by particle swarm optimization and traditional BP neural network)