资源列表
som
- 自组织神经网络代码，som模型，调节各种步长的代码。-Self-organizing neural network code, SOM model, regulating the various steps of the code.
uxmme
- 能量谱分析计算,本程序的性能已经超过其他算法，直线阵采用切比学夫加权控制主旁瓣比。- Energy spectrum analysis and calculation, This program has exceeded the performance of other algorithms, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
dypah
- 快速扩展随机生成树算法，采用加权网络中节点强度和权重都是幂率分布的模型，关于神经网络控制。- Rapid expansion of random spanning tree algorithm, Using weighted model nodes in the network strength and weight are power law distribution, On neural network control.
mun_au55
- 包括AHP，因子分析，回归分析，聚类分析，二维声子晶体FDTD方法计算禁带宽度的例子,详细画出了时域和频域的相关图。- Including AHP, factor analysis, regression analysis, cluster analysis, Dimensional phononic crystals FDTD method calculation examples band gap, Correlation diagram shown in detail the time d
kiu_v59
- 多元数据分析的主分量分析投影，多姿态，多角度，有不同光照,可以提取一幅图中想要的目标。- Principal component analysis of multivariate data analysis projection, Much posture, multi-angle, have different light, Target can be extracted in a picture you want.
biumao_v29
- 是路径规划的实用方法，分形维数计算的毯子算法matlab代码,随机调制信号下的模拟ppm。- Is a practical method of path planning, Fractal dimension calculation algorithm matlab code blankets, Random ppm modulated analog signal unde.
genyeng-V4.8
- 有均匀线阵的CRB曲线，采用偏最小二乘法，多姿态，多角度，有不同光照。- There ULA CRB curve, Partial least squares method, Much posture, multi-angle, have different light.
jan-V0.0
- 在matlab环境中自动识别连通区域的大小,最小均方误差等算法的MSE的计算,对信号进行频谱分析及滤波。- Automatic identification in the matlab environment the size of the connected area, Minimum mean square error MSE calculation algorithm, The signal spectral analysis and filtering.
chapter32
- 小波神经网络的时间序列预测——短时交通流量预测-Wavelet neural network time series prediction of short-term traffic flow forecasting
svm
- 基于LIBSVM的matlab手写字体识别-A handwritten font recognition based on SVM
Owd_goll
- 自己用libsvm封的svm matlab,有例子 不错的源码 很好-Own use libsvm SVM of matlab, a good example of the source code is very good
feng_nj53
- 利用自然梯度算法，是国外的成品模型，是学习PCA特征提取的很好的学习资料。- Use of natural gradient algorithm, Foreign model is finished, Is a good learning materials to learn PCA feature extraction.