资源列表
EKF
- 扩展卡尔曼滤波C语言代码，以及一些矩阵相关操作(Extended Kalman filter C code and some matrix related operations)
CNN_matlab
- 使用matlab2019a深度学习工具箱实现的CNN卷积神经网络分类例程，数据是随机生成的一维随机数(Using the CNN convolution neural network classification routine realized by MATLAB 2019a deep learning toolbox, the data is one-dimensional random number generated randomly)
GBM
- matlab 实现梯度提升决策树。用于能耗预测。(Matlab implements a gradient boosting decision tree. Used for energy forecasting.)
00363947pso-bp
- 一个简单的小例子，是关于pso与神经网络结合的。希望有用(A simple example is about the combination of PSO and neural network. Hope to be useful)
清洁机器人路径规划
- 清洁机器人路径规划matlab仿真程序，采用内螺旋算法，房间抽象为矩阵(Matlab simulation program for cleaning robot path planning, using internal spiral algorithm, room abstraction as matrix)
lstm 成功
- 利用LSTM算法进行数据预测和数据分析，实在不知道说啥了(Use this svm algorithm for data prediction or data processing)
lstm_tensorflow
- tensorflow2.0的Lstm实现(LSTM implementation of tensorflow 2.0)
bas代码
- 基于天牛须算法的例子，展现天牛须算法的性能，对目标函数优化，简单代码即可实现。(Based on the example of Taurus whisker algorithm, the performance of Taurus whisker algorithm is demonstrated, the objective function is optimized, and the simple code can be realized)
SAPSO
- 模拟退火优化的粒子群算法，主要避免局部最优。(Particle swarm optimization with simulated annealing optimization mainly avoids local optimization)
k-means
- k-means算法实现的数据分类，python代码，可直接运行(K-means algorithm to achieve data classification, Python code, can be run directly)
道格拉斯普克抽稀算法
- 道格拉斯-普克抽稀算法python实现。用于空间数据抽稀。(Douglas-Puck thinning algorithm implemented in python. Used for thinning spatial data.)
matlab动物识别系统
- matlab环境下运行算法，进行提取特征，机器学习并进行识别，开发了动物识别系统，该系统简单实用。(Identify animals by their characteristics)