资源列表
Decision-two-fork-tree
- 人工智能课程，决策二叉树的一些代码，仅供参考-AI course some code, binary decision for reference purposes only
ex5
- 机器学习 5、k - means聚类 开发环境Octave-Programming Exercise 5: K-means Clustering and Principal Component Analysis Machine Learning
ex4
- 机器学习 4、支持向量机 开发环境Octave-Programming Exercise 4: Support Vector Machines Machine Learning
ex3
- 机器学习 3、正则化的线性回归 开发环境Octave-Programming Exercise 3: Regularized Linear Regression and Bias v.s. Variance Machine Learning
ex2
- 机器学习－2、多标度分类和神经网络初步 开发环境Octave-Programming Exercise 2: Multi-class Classi cation and Neural Networks Machine Learning
ex1
- 机器学习－1、线性回归 开发环境是Octave-Programming Exercise 1: Linear Regression Machine Learning
MATLAB
- matlab智能算法，包括神经网络，支持向量机等，可用于建模等。-matlab intelligent algorithms, including neural networks, support vector machines, etc., it can be used for modeling.
Wavelet-Transform-C-
- 小波变换C语言实现,包含小波变换中各种算法，可以进一步了解算法的具体过程-Wavelet Transform C Language Realization
greybypso
- 此代码为GM（1,1）模型，并利用粒子群算法对影子方程中参数a,b进行优化-This code is GM (1,1) model, and use particle swarm optimization algorithm for shadow parameters a, b to optimize
bpbybat
- 此代码创建了一个BP神经网络，对二元函数进行拟合，并利用蝙蝠算法对BP神经网络的权值和阈值进行优化-This code creates a BP neural network, which fits the binary function and optimizes the weights and thresholds of the BP neural network using the bat algorithm.
PSO
- bp神经网络预测 采用了PSO粒子群优化方法来选择神经网络中的权重值-bp neural network prediction using PSO PSO method to the neural network weights
house_price
- kaggle 房价预测试题详解，里面有大量中文注释，都是我自己写的，代码有些是参考别人的英文提交的kernel，数据处理工作做的比较多-kaggle Rate forecast Detailed questions, there are a large number of Chinese comments are my own writing, the code is a reference to some of the others submitted in English kernel, d