资源列表
A_star
- 能够进行路径规划，用于全局路径规划，是目前较为广泛的全局路径规划算法(Can perform path planning for global path planning. It is currently a relatively extensive global path planning algorithm.)
Deep+Learning+with+Python+2017
- 如何使用python实现深度学习，是外文电子书籍，书里的内容较容易上手(How to use Python to realize deep learning)
GA_NN
- GA neural network controllers
Recognition
- 将数量较少的故障样本分为训练集和测试集，实现故障的分类和识别(A small number of fault samples are divided into training set and test set to realize fault classification and recognition.)
cat_vs_dog
- 利用神经网络模型Resnet模型对猫和狗进行识别(Recognition of cats and dogs by using neural network Resnet model.)
模式识别代码
- 基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorit
ga
- 遗传算法的matlab实现，可以应用于各种寻优过程(The matlab implementation of genetic algorithm can be applied to various optimization processes.)
PSO-Python
- 粒子群算法，PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The particle swarm optimization (PSO) al
Machine Learning With Go
- learning machine learning with golang.
Keras1.1.2
- This is a Keras library 1.1.2 for Python 3.5 (includes source code + docker).
国家电网考试电工类大纲
- 而非深V我深V额度为深V大无畏的深V其窝囊废IQ我放弃我能放弃(iwnefwievnisndvslvrknvvvvvvvvvvvvvvsaproinsirbabaerb)
initialize_variables
- 实现神经网络多目标优化算法变量初始化的m文件(Initialization of multi-objective neural network)