▍1. 灰色预测
说明： 基于灰色预测，指数平滑预测的几个MATLAB程序，对于预测类问题的数学建模，可以说是必备程序。(Based on gray prediction, exponential smooth prediction of several MATLAB procedures, for the predictive class of mathematical modeling, can be said to be an essential program.)
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▍3. RangeTrackBak
雷达距离波门跟踪源程序,可动态显示跟踪过程,跟踪参数可设.(The radar range gate to track source code can be dynamic display tracking process, track parameters can be set up.)
▍4. PSO
许多的PSO优化算法，包括BPSO、HybridPSO、QPSO、SPSO等等。(Many of the PSO optimization algorithms, including BPSO, HybridPSO QPSO, SPSO, etc.)
▍5. 330
提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特 征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景 信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识 别, 结果与实际情况相符。(Signal implicit characteristic of phase space reconstruction, and then using the singular value decomposition (SVD), principal component decomposition envelopment analysis, so as to extract the signal, and the method is applied to the partial failure of the vibration characteristics of the signal of the gear extraction. The numerical simulation results show that this method can effectively extract Weak Feature strong background signal and noise in the signal, a weak signal feature extraction methods. The extraction and recognition of fault feature of gear vibration signal results consistent with the actual situation.)
▍6. 水下声音识别
利用BP神经网络进行海豚声音信号和座头鲸声音信号的分类识别，分析不同噪声条件下，系统的识别准确度。(The BP neural network is used to classify and recognize the dolphin sound signal and the humpback whale sound signal, and analyze the recognition accuracy of the system under different noise conditions.)
▍7. 灰色模型负荷预测程序
配电网，灰色负荷预测方法，分为城镇、农村、第二产业、第三产业用电量预测(Gray Load Forecasting Method for Distribution Network)
▍8. bp负荷预测
说明： bp神经网络实现电力负荷预测，matlab实现(Bp neural network to achieve power load prediction, matlab to achieve)
▍9. jixiebilujingguihua(no-obstacal)
机械臂路径规划 无障碍物的环境下 里面的程序很齐全 并且还有实验结果图和数据 可直接运行(Manipulator path planning for obstacle-free environment inside the program is complete and the maps and data of the experimental results can be directly run)
▍10. mushrooms
说明： 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果(Course deals with mushrooms data on pattern recognition of various pattern classification methods [linear classification, Bayesian classification, Parzen Windows, KNN] and feature selection and dimension reduction method of PCA, LDA is simulated, the results of all kinds of classification methods are given)
▍11. 脑电数据PCA处理及SVM分类
脑电eeg数据预处理，用于脑电信号的MATLAB处理程序，输入处理数据，进行matlab运算，PCA处理及SVM分类。(PCA Processing and SVM Classification of EEG Data)
▍12. 脑电数据PCA处理及SVM分类
说明： 脑电eeg数据预处理，用于脑电信号的MATLAB处理程序，输入处理数据，进行matlab运算，PCA处理及SVM分类。(PCA Processing and SVM Classification of EEG Data)
▍13. CS BP OK-low
使用布谷鸟算法优化BP神经网络进行分类。替换数据即可使用。(The BP neural network was classified by using the cuckoo algorithm. Replacement data can be used.)
▍14. cs-bp
用布谷鸟优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。(Cuckoo optimization method of BP neural network weights and threshold optimization, improve precision of the neural network operation.)
▍15. ga-PID
利用遗传算法优化pid控制器三个参数的matlab程序(The use of genetic algorithm to optimize the three parameters of pid controller matlab program)
▍17. RBFjulei
基于聚类算法的RBF预测，可用于电力负荷，证券等方面的预测(RBF prediction based on clustering algorithm, can be used to forecast power load, securities)
▍18. ridge
这段代码可以实现机器学习中的岭回归。自行添加高斯噪声后对每个数据集的七阶多项式用不同的值λ进行岭回归(Perform ridge regression on each dataset with 7th order polynomial with different value λ.Add Gaussian noise.)
▍19. 这是张小飞的阵列信号的全部MATLAB代码
传统的高分辨波达方向（DOA）估计算法中，一般都假设信号位于远场，此时入射到阵列的信源波前为平面波前，空间信号的定位参数可由DOA来确定。然而，当信源处于阵列的Fresnel区域时，信号波前需用球面波来描述，每个信源的定位信息要用DOA和距离联合描述。因此，远场情况下的一些线性理论推导已不再成立，传统的远场算法的估计不再适用(In traditional high resolution direction of arrival (DOA) estimation algorithms, it is generally assumed that the signal is located in the far field, where the source wavefront incident to the array is plane wavefront, and the location parameters of the spatial signal can be determined by DOA. However, when the source is in the Fresnel region of the array, the wavefront of the signal needs to be described by spherical wave, and the location information of each source needs to be described by DOA and distance. Therefore, some linear theoretical deductions are no longer valid in the far-field case, and the estimation of the traditional far-field algorithm is no longer applicable.)
▍20. 这是张小飞的阵列信号的全部MATLAB代码
说明： 传统的高分辨波达方向（DOA）估计算法中，一般都假设信号位于远场，此时入射到阵列的信源波前为平面波前，空间信号的定位参数可由DOA来确定。然而，当信源处于阵列的Fresnel区域时，信号波前需用球面波来描述，每个信源的定位信息要用DOA和距离联合描述。因此，远场情况下的一些线性理论推导已不再成立，传统的远场算法的估计不再适用(In traditional high resolution direction of arrival (DOA) estimation algorithms, it is generally assumed that the signal is located in the far field, where the source wavefront incident to the array is plane wavefront, and the location parameters of the spatial signal can be determined by DOA. However, when the source is in the Fresnel region of the array, the wavefront of the signal needs to be described by spherical wave, and the location information of each source needs to be described by DOA and distance. Therefore, some linear theoretical deductions are no longer valid in the far-field case, and the estimation of the traditional far-field algorithm is no longer applicable.)
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