资源列表
迁移学习简明教程
- 这是一本最新的关于迁移学些的介绍文档，内容有85页左右，对迁移学习的方方面面介绍的比较到位，其中还有迁移学习的大牛 杨强教授对该内容提出了宝贵的意见。(A brief tutorial on migration learning)
decision_tree
- 机器学习/python入门项目三：决策树(Machine Learning / Python Getting Started Project 3: Decision Trees)
kmeans
- 机器学习/python入门项目五：k均值(Machine learning / python entry project five: k means)
图像重建反投影、滤波反投影matlab仿真程序
- 图像重建反投影、滤波反投影仿真，如果有需要的话，可以详细我的。(Image reconstruction backprojection and filtering back projection simulation)
deep learning
- 系统全面讲解了深度学习，有助于适合初学者学习。(Suitable for beginners)
demos
- 采用了遗传算法进行神经网络的优化,避免了神经网络容易陷入局部最小的问题,大大提高了接地选线的准确性。(Genetic algorithm is used to optimize neural network, avoiding the problem that neural network is easy to fall into local minimum, which greatly improves the accuracy of grounding selection.)
UJFTXJ
- 本算法采用相似搜索,和线性加权回归算法,主要用于预测,而且效果好,()
神经网络
- 传统的TSP问题，用hopfeild神经网络简单解决(The traditional TSP problem is solved by Hopfeild neural network.)
ChenxingMaterials
- 这是一种用于人类微生物疾病关联预测(Katzhmda)的katz度量的新的计算模型。(This is a novel computational model of KATZ measure for Human MicrobeDisease Association prediction)
lssvm_prediction
- LSSVM时间序列预测，基于matlab lssvm工具箱！推荐！！！！！(LSSVM time series prediction is based on MATLAB LSSVM toolbox. Recommend!!!!!)
NB
- 编写朴素贝叶斯分类器，对测试集进行分类预测，并计算分类精度(The naive Bias classifier is compiled, and the test set is classified and predicted, and the classification accuracy is calculated)
卷积神经网络python代码
- 用于进行图像识别与大型图像的处理，是一种高效的识别方法(It is an efficient recognition method for image recognition and large image processing.)