资源列表
kMeanClustering
- kMeansClustering in Python. Generalized with n-Samples, k-Centers
LogisticRegression
- Logistic Regression on IRIS Dataset using TensorFlow
Linear-Regression
- Linear Regression Exercises. We our Design Matrix as 1st, 2nd, and 9th-order Quadratic Functions and try to fit a simple data.-Linear Regression Exercises. We our Design Matrix as 1st, 2nd, and 9th-order Quadratic Functions and try to fit a simp
Gradient-Descent-Toys
- Toy examples in Python for Gradient Descent Algorithm
rpart
- rapart函数是R语言中关于建立决策树的函数,利用这个函数源码,我们可以进行决策树分类算法的使用。-rpart is the code which we can use it to create decision tree.
AD
- 本实验是基于51单片机、proteus、adc0809的两路电压采集系统。-This experiment is based on 51 single-chip, proteus, adc0809 two-way voltage acquisition system.
DiffeomorphicDemons
- 基于ITK的微分同胚Demons配准算法,算法原型来自Diffeomorphic demons-Demons algorithm diffeomorphic registration technique based on ITK algorithm, the prototype Diffeomorphic demons
UUENCODE_Base64-encodedecode
- UUE(UUENCODE ) & Base64编码解码原理源代码。可自定义编码表(纯字符串),修改编码表即可在UUE和Base64编码解码之间切换,已优化解决不支持中文的BUG。 纯字符串方式,不考虑定长折行和加行首字符及文件头尾定义等,方便网页运用,可直接移植为ASP代码(需要删除AS变量类型限定)!-UUE (UUENCODE) & Base64 encoding and decoding principle source code. Can be a custom code t
demon
- demons配准程序,包括2维的配准程序和3维的配准matlab程序-Demons registration procedures, including the 2 dimensional registration procedures and 3 dimensional registration Matlab procedures
demons-registration
- Demons算法是一种基于灰度信息的全自动非刚性配准方法,其配准结果容易受图像之间灰度不一致的影响-Demons algorithm is a kind of automatic non rigid registration method based on gray level information, and the result of registration is easy to be affected by the gray level between images.
Hopfield
- 利用Hopfield神经网络的优化来解决旅行商问题优化计算-Use optimization Hopfield neural network to solve the traveling salesman problem optimization
narx
- 利用动态神经网络时间序列来预测研究——基于MATLAB的narx的实现-Dynamic neural network time series prediction- MATLAB-based implementation of narx
