资源列表
zaosheng
- 使用神经网络实现噪声对消，对于母体中胎儿的心音测试效果非常好-Eliminate noise
change-channel-final
- max烘焙后贴图通道为3，本程序可以自动地将通道3改为通道1，非常好用而且强大。-chang channel3 to channel 1
MatlabFKmeans
- 使用matlab实现模糊聚类K-means算法的过程程序 有详细的说明-Use matlab fuzzy clustering K-means algorithm of the program is described in detail
ray_doppler
- 代码使用正弦波叠加的方法产生一个简单瑞利衰落的信道。其幅度满足瑞利衰落，到达角在0到360度内均匀分布。-Code used to generate a sine wave superposition method is simple Rayleigh fading channel. Magnitude to meet the Rayleigh fading, angle of arrival in the 0 to 360 degrees evenly distributed.
input
- iris.txt for matlab neural network
wf--03
- w-h规则进行网络=训练，其中权值手动给出，大家可以看看效果，配注释-wh rule network = training, which weights manually given, we can see the effect with comments
LFMfangzheng
- 在很多实际场合下，平稳性的假设往往不能成立，此时就需要引入非平稳信号或时变信号的分析与处理。所谓的时变是指信号的统计特性随时间变化。由于信号的这种性质，传统的傅立叶分析方法无法令人满意。对于时变信号，了解不同时刻附近的频域特征是至关重要的，因此，人们往往采用时间－频率联合描述的方法描述时变信号。-In many practical situations, stationarity assumptions often can not be established, then we need to
cmcc
- matlab下的，小脑神经网络例子，应用小脑神经网络，拟合正玄曲线。-matlab and down and little brain network example, application of small brain networks, fitting sine curve.
longest-common-subsequence
- 本代码实现了算法导论书中最长公共子序列算法。-The longest common subsequence
ga
- 基于遗传算法和距离的特征选择，用于人工智能和模式识别，进行降维-Distance based on genetic algorithms and feature selection for artificial intelligence and pattern recognition, dimensionality reduction
k-meas
- k近邻法分类iris数据。iris数据共分三类，每一类50个数据，这里把每一类前20个作为训练样本，后30个作为测试样本-k-nearest-neighbor classification iris data. iris data is divided into three categories, each category of data from 50, as the training samples in each category of the top 20 after 30 as th
tsp-matlab
- tsp的matlab神经网络求解，可以用的，还不错-tsp matlab neural network to solve, you can use, but also good