资源列表
bayesian_regression
- 贝叶斯回归是一个很好的回归模型。相对与其他模型，贝叶斯回归可以避免因为模型过简单或者过复杂而产生的拟合不足和过拟合的问题。(Bayesian Regression is a good regression model. Compared with other models, Bayesian Regression can avoid the problems of Under-fitting and Over-fitting resulting from the simple or too co
Sciprts
- 用 dataset3 作为训练数据，用 dataset4 作为测试数据，采用不同的特征、训练样本数、分类方法进行比较实验，观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器（假设正态分布，先验概率各 50%）。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an
Tensorflow 实战Google深度学习框架
- 深度学习框架，适合人工智能学习以及刚入门的知识普及(Deep Learning Framework)
generative-models-master
- 生成对抗网络中的各种衍生网络结构，包括基础GAN，C-GAN,AC-GAN等等 变分自动编码器各种衍生网络结构，包括条件变分自动编码器等等(Generated in the network against the derivative network structure, including GAN, C-GAN, AC-GAN and so on. The variational autocoder derivative network structure, including con
新建文本文档 (2)
- 在栅格地图中基于贪心算法避开障碍物的同时寻找两点间最短路径,(based on one way in the map to builder a path planner)
gpml-matlab-v4.1-2017-10-19
- MATLAB code. It was originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning.(The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes f
用Python写网络爬虫PDF&源码
- 用Python写网络爬虫 PDF & 源码(Write network crawler PDF& source code with Python)
神经网络
- BP神经网络算法，以鸢尾花为例子的分类算法。(BP neural network algorithm, using iris as an example of the classification algorithm)
try_1
- 计算任意平面太阳辐射量 光伏支架跟踪 双面电池和单面电池 单轴跟踪和双轴跟踪(Calculation of solar radiation for arbitrary plane solar radiation tracking double side battery and single side battery and single axis tracking and dual axis tracking)
bp神经网络&龙贝格积分
- 通过C语言构建了bp神经网络以及龙贝格积分算法。(BP neural network and Romberg integration algorithm is constructed by C language.)
[python]tsp-master
- 遗传算法解决TSP问题，python源码，github(Solving TSP problem by genetic algorithm)
PSO_BP
- 一个利用PSO粒子群优化算法训练BP神经网络的程序，在matlab环境中进行操作，代码简便可行。(PSO optimization neural network)