资源列表
PSO-BP
- 粒子群算法优化BP神经网络，在传统PSO算法的基础上增加了惯性权重，并且线性递减策略改变。(Particle Swarm Optimization (BP) algorithm optimizes BP neural network, and inertia weights are added based on traditional PSO algorithm, and linear decreasing strategy changes)
adaboost
- 程序为一种分类算法AdaBoost算法，用于解决二分类问题(The program is a classification algorithm AdaBoost algorithm to solve the two classification problem)
kMeans
- kMeans 的 Python代码实现, 还有python自带库的kMeans 的实现(The realization of kMeans's Python code, as well as the realization of kMeans with Python's own library.)
算法
- 编程语言为C++的几个常见算法源码，提供给大家(Programming language for C++ several common algorithm source code, to everyone.)
ASTAR
- 路径规划A*算法的python实现，带有详尽注释(Path planning A* algorithm Python implementation, with detailed notes)
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
alexnet
- alexnet网络结构，基于python语言下的tensorflow框架(The network structure of alexnet)
psoSVMcgForClass
- 用粒子群寻优SVM，从而实现对分类器的参数实现寻优(pso svmcg for class,abcpso)
chapter1 谢菲尔德大学的matlab遗传算法工具箱
- 谢菲尔德大学matlab遗传算法工具箱用高级语言编写，可以看见算法的源代码，与此匹配先进的数据分析、可视化工具。(The Matlab genetic algorithm toolbox at the University of Sheffield is written in a high-level language. You can see the source code of the algorithm and match this with advanced data analysis
程序
- 一个很有用的巴特沃兹去噪程序，文件为.m文件(Butterworth de-noising program, file as.M file)
ga_TSP
- 动态展示tsp问题求解过程，并给出最优解和平均解(Dynamic display of TSP problem solving process)
nueral_network
- 最基本的神经网络源码，初学者的福利，可以通过此了解神经网络的实现。(The most basic source code of neural network, the welfare of beginners, through which we can understand the realization of neural networks.)