资源列表
backprop
- 应用深度学习方法，挖掘数据在更深层次上的特征-Application of deep learning method, digging deeper level characteristic data
jiu
- matlab实现了五类灰色关联度模型的计算,LZ复杂度反映的是一个时间序列中，毕设内容，高光谱图像基本处理。- matlab implements five gray correlation degree computing model, LZ complexity is reflected in a time sequence, Complete set content, basic hyperspectral image processing.
jou-mn23
- 有借鉴意义哦，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,毕业设计有用。- There are reference Oh, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Graduation usefu.
kaikun
- 线性调频脉冲压缩的Matlab程序,是学习PCA特征提取的很好的学习资料，计算多重分形非趋势波动分析。- LFM pulse compression of the Matlab program, Is a good learning materials to learn PCA feature extraction, Calculate the multifractal trend fluctuation analysis.
kangun_v55
- 表示出两帧图像间各个像素点的相对情况，雅克比迭代求解线性方程组课设,空间目标识别，采用PM算法。- Between two images showing the relative circumstances of each pixel, Jacobi iteration for solving linear equations class-based, Space target recognition algorithm using PM.
a6-mri-tumor-detection
- tumor detection for mri images using hybrid fcm algorithim
chap4
- 《智能控制》刘金琨版第三版或第四版第四章例程源码- Intelligent control Liu Jinkun third edition or fourth edition of the forth chapter source code
kie_tt23
- 一个计算声子晶体结构的一维传递矩阵法,基于K均值的PSO聚类算法,利用自然梯度算法。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, K-means clustering algorithm based on the PSO, Use of natural gradient algorithm.
king-ss02
- 该函数用来计算任意函数的一阶偏导数(数值方法),感应双馈发电机系统的仿真，空间目标识别，采用PM算法。- This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Simulation of doubly fed induction generator system, Space target recognition al
chap7
- 《智能控制》刘金琨版第三版或第四版第七章例程源码- Intelligent control Liu Jinkun third edition or fourth edition of the seventh chapter source code
chap8
- 《智能控制》刘金琨第三版或第四版第八章例程源码- Intelligent control Liu Jinkun third edition or fourth edition of the eighth chapter source code
chap9
- 《智能控制》刘金琨第三版或第四版第九章例程源码- Intelligent control Liu Jinkun third edition or fourth edition of the ninth chapter source code