资源列表
VMD
- K. Dragomiretskiy, D. Zosso, Variational Mode Decomposition 原版代码(K. Dragomiretskiy, D. Zosso, The original code of Variational Mode Decomposition)
基本粒子群算法PSO
- PSO基本粒子群算法与其他优化算法相比，所需的数学知识较少，参数选取个数较少，处理优化问题有较强的通用性，拥有更简单、方便的操作。
IQGA(改进的量子遗传算法)
- IQGA(改进的量子遗传算法Matlab程序)(IQGA (Improved Quantum Genetic Algorithms))
人工蜂群算法改进版
- 改进版人工蜂群算法，实现复杂函数的有效求解！！(The improved artificial bee colony algorithm realizes the effective solution of complex functions!!)
人工蜂群算法工具箱
- 人工蜂群算法工具箱，可用于求解旅行商问题，以及多维数据极大值和极小值等问题(Artificial bee colony algorithm toolbox can be used to solve traveling salesman problem, multi-dimensional data maxima and minima and other issues!)
bayes_analyse
- 基于代价敏感的朴素贝叶斯二分类对于不均衡数据的处理(Cost sensitive naive Bayes two classification for unbalanced data processing)
tensorflow-vgg16-train-and-test-master
- vgg深度学习，图像识别，用于图像的分类，在python上运行(vgg deep learning, image recognition, used for image classification, running on Python)
nist2391
- NIST Reference Fluid Thermodynamic and Transport Properties Database
NM_PCA
- PCA降维算法，本程序已经调好，可以直接跑数据(PCA dimension reduction algorithm, this program has been adjusted, you can run data directly)
负荷预测算法包
- 负荷包预测算法，里面有SVM的详细说明，欢迎大家一起讨论(Load packet prediction algorithm, there is a detailed descr iption of SVM, welcome everyone to discuss)
数据挖掘算法
- 常用数据挖掘算法介绍， 包括数据预处理，随机森林，SVM(Introduction of Common Data Mining Algorithms)
LeNet
- 神经LENET实现详细代码，希望对初学者有帮助哦！(Neural LENET implementation of detailed code, hope to help beginners Oh!)