资源列表
DBN
- 深度信念网络，神经网络的一种。既可以用于非监督学习，类似于一个自编码机；也可以用于监督学习，作为分类器来使用。(Deep belief network, a kind of neural network. It can be used for unsupervised learning, similar to a self-coding machine, or supervised learning, as a classifier.)
MATLABcode
- 采用bp对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。(Using bp for height and weight in male and female sample data, like math, like literature, like sports, design boys and girls classifiers, and calculate model prediction perform
GAOT
- 基于改进的遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
TrAdaboost
- 迁移学习中经典算法Tradaboost的python实现(Python implementation of classical algorithm Tradaboost in transfer learning)
05 竞争神经网络与SOM神经网络
- 里面有两个神经网络原理的PPT,竞争神经网络和SOM神经网络，还有一个实际案例————矿井突水水源的判别。(There is a neural network principle of PPT, competitive neural network and SOM neural network, there is also a practical case - the identification of mine water inrush.)
keras-SRU-master
- 人工神经网络keras实现时序序列SRU模型
matlab抠图图像处理
- matlab抠图算法及相关程序，用于学习交流(Matlab matting algorithm and related programs for learning and communication)
Files_bldg_full2
- full scale benchmark structure
NSGA-II
- NSGA-ii算法，一种基于拥挤度的非支配排序遗传算法(NSGA-ii algorithm, a non-dominated sorting genetic algorithm based on congestion degree)
tensorflow实现3DCNN
- 使用TensorFlow框架实现3DCNN的编写，具体内容可看代码，是自己跑过的，在GITHUB上面下载的，分享给大家。
FA
- 优化算法，基于萤火虫优化算法FA，主要程序为fa(Firefly optimization algorithm)
粒子群算法1
- 粒子群算法,强引导粒子群与混沌优化的电力系统无功优化(Particle swarm optimization, strongly guided particle swarm optimization and chaotic optimization for reactive power optimization in power systems)