资源列表
traingdmOrbr
- 用matlab编的ＢＰ程序，两种训练算法进行比较，对于学习ＢＰ网络的人很有益处-using Matlab part of BP procedures, two training algorithm, BP learning network of useful
BPN01
- MATLAB环境开发BP网络源程序-MATLAB environment for the development of BP network source
bp
- 用bp人工神经网络来逼近非线性函数-With bp artificial neural network to approximate nonlinear functions. . . . . .
rgb2hsi
- rgb到hsi空间的转换，里面有详细的程序解释，可以实现空间转后利于人工智能图片的识别与相关处理-RGB to the transformation of the hsi space, there is a detailed explanation of the program, can achieve space after turn to artificial intelligence picture recognition and relevant processing
GFNNjieousuani
- 给出了一模糊神经网络解耦控制算法,对含有噪声的二阶系系统进行控制,并与PID控制结果进行了比较,效果不错! -Given a fuzzy neural network decoupling control algorithm, controls the second-order systeem for noise control and PID control and the results were compared with the effect of good!
svm
- opencv实现的svm算法的代码示范，可用于学习svm的原理和使用效果。-opencv svm algorithm implementation code demonstration svm can be used to learn the principles and results.
JingDian_RBF_TiDu
- 很好的例子，经典的RBF神经网络matlab实例。-Suitable for beginners to learn a good simple for RBF networks
bpsf
- 该程序运用MATLABL编程，建立了一个BP网络，并进行了测试-MATLABL use of the programming process, the establishment of a BP network, and the test
GA
- 这是一个遗传神经网络，用遗传算法优化神经网络的权值-This is a genetic neural networks, genetic algorithm with neural network weights
KPCA
- KPCA 核主成分分析 降维处理 与传统的PCA相比，KPCA具有主成份特征明显,贡献率集中,主成份参数维数较少等优点,其性能明显高于PCA的分析结果-Nuclear dimension principal component analysis (KPCA Compared with the traditional PCA, KPCA with principal component characteristics significantly, contribution, princip
gaosi
- 高斯消元法解方程组 高斯消元法解方程组-Gauss Elimination Method for Solving Equations
nnfinal
- neural network traning