资源列表
Ch02
- 利用Python语言设计knn近邻算法分类器，包括测试算法数据以及成功应用该算法-KNN near neighbor classifier，demo
Ch03
- 这是《机器学习实战》中，讲述的决策树，运用Python语言设计决策树分类器，完全可以应用该算法-decision tree classification，demo
Energy-aware-mapping-VN
- 利用能耗感知来实现虚拟网络映射，在很大程度上提高了映射效率。-To use energy-aware virtual network mapping, mapping has greatly improved efficiency.
PSO(classic)
- 经典的PSO粒子群算法。思路简洁明快，易于新手理解交流。-Classic PSO particle swarm optimization. Ideas concise, easy for beginners to understand communication.
FUZZY-NET
- 模糊神经网络的编程方法，简单实用，可以用来进行预测-Fuzzy net
libsvm-3.17
- libsvm 是运行SVR模型的重要要素之一，所上传的资料可以在各个系统中应用-libsvm is an important element for SVR
BSO
- BSO 是一种基于人脑的优化算法，可以应用于各种领域，优化各种算法-BSO is based on human
gaot
- GAOT 可以被用于预测，寻优，简单有效，文件可用于MATLAB-GAOT can be used to forecast and optimize, which is simple and effective
paper
- 后面几篇是关于神经网络RNN以及实体识别相关的影响较大的文献，前面一个是使用keras平台搭建RNN神经网络模型时训练模型写的代码- Behind several neural network RNN entity recognition and greater impact on the relevant literature, in front of a platform built using keras when RNN trained neural network model
Krill-Herd
- 一种新兴的群智能优化算法，磷虾群优化算法，用于解决不同的优化问题，具有较强的全局搜索能力。-A new kind of swarm intelligence optimization algorithm, krill swarm optimization, optimization is used to solve different problems, with a strong global search capability.
qt3
- 这是关于01背包的动态规划算法，给予python3.5,由于课程设计需要，还实现了可视化界面pyqt-This is a dynamic programming algorithm on 01 backpack, giving python3.5, since the curriculum design needs, but also to achieve a visual interface pyqt
BP.c
- 用C语言实现的BP算法，对初学神经网络的人有帮助-BP algorithm using C language for beginners neural network to help people