资源列表
ART2py-master
- ART2（自适应共振理论）的python实现(Python implementation of ART2 (Adaptive Resonance Theory))
bp和maltab的车牌识别
- 实现了灰度处理，锐化，边缘检测，神经网络(Grayscale processing, sharpening, edge detection, neural network)
LSTM-morevalible
- LSTM 多变量预测，天气等影戏因素，可以执行，完全可以执行，思想也很简单(LSTM multivariable prediction)
LSTM
- LSTM对价格的预测 利用最新的神经网络 希望大家能够喜欢(29/5000 The LSTM's prediction of prices USES the latest neural networks to please everyone)
DTLZ_PF_Generator
- DTLZ测试函数生成真实Pareto前端(DTLZ test function to generate true Pareto front)
KOSELM-standalone
- kerne online sequential Extreme learning machine
convLSTM_minimum-master
- 卷积长短期机器模型用于预测空间上与时间上的值，是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
RL
- 强化学习 DQN代码，和通信相关，利用python进行训练，大家可以看看(reinforcement learning)
MATLAB
- matlab使用layrecnet实现循环神经网络rnn(Matlab uses recurrent neural network to implement recurrent neural network RNN.)
DNN
- 深度神经网络搭建，搭建一个深层的神经网络用于训练。(A deep neural network is built to build a deep neural network for training.)
选址定容
- 经典遗传算法，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.)
knn
- matlab 实现鸢尾花数据集的KNN算法(Matlab implementation of KNN algorithm)