资源列表
BP神经网络的非线性系统建模-非线性函数拟合
- 使用BP神经网络，实现非线性系统建模，包括完整的程序和测试数据。(BP neural network is used to realize nonlinear system modeling, including complete program and test data.)
kmeans
- 用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较，并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)
向前后差分格式
- 向前差分格式 向后差分格式 matla 程序(Forward difference scheme Backward difference scheme)
TSP
- 基本蚁群算法求解TSP，还有一种改进的最大最小蚁群算法求解，包括绘图函数(The basic ant colony algorithm for TSP, and an improved maximum and minimum ant colony algorithm, including the drawing function.)
Power-comput
- 信号功率谱的熵值计算，可用于信号分析或者信号处理(The entropy value of signal power spectrum can be used for signal analysis or signal processing.)
logistic
- python实现的logistic回归，ex2为不带正则化的版本，ex2_reg为正则化版本，从数据集中的两个特征中，采用相乘与取n次方的方法，又人工生成了一些特征，因此加上了正则化。(logistic regression in python)
EKF_SOC
- 估算锂电池soc的MATLAB simulink模型(MATLAB Simulink model for estimating SOC of lithium battery)
auto-encoder-reduce
- keras实现的自编码器,以及卷积自编码器，其中的sasi.pkl是从一张高光谱图像中截取的某些部分(autoencoder based on keras)
应用禁忌搜索算法解决0-1背包问题
- 利用禁忌搜索算法求解0-1背包问题。禁忌搜索算法相比其他搜索算法更优，设置藐视规则来避免陷入局部最优解。(Solve 0-1 Knapsack Problem based on Tabu search. The tabu search algorithm is superior to other search algorithms and sets contempt rules to avoid falling into local optimal solutions.)
调制解调GUI
- 主要实现2ASK,2FSK,2PSK,QPSK,16QAM的调制，绘制功率谱，通过GUI界面灵活配置。(Main realization 2 ask, 2 FSK, 2 PSK, QPSK, 16 qam modulation, power spectrum, GUI interface through flexible configuration.)
MVDR和RLS实现了单波束形成
- 数字波束形成器是全数字化超声成像的基础,也是高性能彩超的保证。(digital Beamforming Forming)
源程序
- 用matlab编写的代码，用于实现飞行器的一致性状态(The code is used to achieve the consistency of the aircraft)