资源列表
stock_predict_with_LSTM-master
- 深度学习，LSTM股票预测，python代码(Deep Learning, LSTM Stock Forecasting, Pthon Code)
RBF自适应
- 基于梯度下降法RBF自适应神经网络控制(RBF adaptive neural network control based on gradient descent method)
遗传粒子群优化算法-GAPSO
- 遗传算法改进粒子群算法及混沌粒子群算法的源码(Improved genetic algorithm for particle swarm optimization and chaotic particle swarm optimization)
feature-selection-master
- mRMR(最小冗余最大相关)算法，有说明有源码(mRMR (minimum redundancy maximum correlation))
压缩感知DOA估计方法
- 该方法通过压缩方法求积信号的到达角，为了获得更精确的DOA估计值，把字典建模为可自由调整的参数描述的模型，通过梯度学习的方法，不断更新字典的格点值。
Autonomous Vehicle Control
- matlab代码生成转向和速度（phi，v）命令，使自主车辆遵循预先定义的路径参考路径（x，y）(Matlab code to generate steering and speed (phi,v) command for an autonomous vehicle to follow a predefined path reference path (x,y))
6_2_VGG
- 用thensorflow实现对VGGNET深度卷积神经网络的建立。(The establishment of the VGGNET convolutional neural network is implemented with the thenthraceflow.)
tensorflow预测产品价格
- 使用tensorflow进行预测，通过市场销量等数据预测产品的价格
LSTM-prediction
- 通过改进RNN神经网络经典的LSTM模型预测交通流。(prediction traffic flow)
LSTM程序
- 基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code)
基于神经网络的车牌识别
- 基于神经网络的车牌识别，在原有基础上增多了训练集，提高了识别的准确度(Vehicle license plate recognition based on neural network increases the training set and improves the accuracy of recognition.)
AcousticChannelSimulator
- 计算海洋声学 深海声道模型 射线声学方法(Computational ocean acoustic deep-sea channel model)