此文档包含对卷积神经网络的描述及在图像处理中的应用，对学习卷积神经网络有重要帮助。(The work presented here uses image classifi cation performance (accurate discrimination between common classes of objects) as a basis for comparing visual system models, and algorithms for fi tting those models as probability densities to images.)
介绍了粒子群模拟退火算法在函数优化中的应用(Introduction of the Particle Swarm Simulated Annealing Algorithm in Function Optimization)
说明： 非线性系统pdf版，人工智能推荐教材，对初学者值得一看，(nonlinear system Pdf version of non-linear system, recommended textbook of artificial intelligence, worth seeing for beginners.)
基于RBF、BP、ANFIS人工神经网络的胎儿心电信号提取MATLAB源代码(MATLAB codes of Extraction of FECG signal based on RBF and BP and ANFIS Neural Network)
神经网络算法RBF分离母体心电和胎儿心电信号(RBF neural network algorithm for separation of maternal ECG and fetal ECG)
说明： 5G资源分配，“鲸鱼优化算法及其在无线网络资源分配中的应用”，IEEE车辆技术学报，第69卷，第4期，第4285-42972020年4月。(You are free to use the code provided you cite our IEEE TVT paper % Q.-V. Pham, S. Mirjalili, N. Kumar, M. Alazab, and W.-J. Hwang, "Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks," IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 4285-4297, Apr. 2020.)
ID3决策树+随机森林算法生成决策森林，采用投票机制进行决策(The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data)
说明： 人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，是集群智能思想的一个具体应用，它的主要特点是不需要了解问题的特殊信息，只需要对问题进行优劣的比较，通过各人工蜂个体的局部寻优行为，最终在群体中使全局最优值突现出来，有着较快的收敛速度。为了解决多变量函数优化问题，Karaboga提出了人工蜂群算法ABC模型。(Artificial bee colony algorithm is a kind of optimization method which imitates the behavior of bees. It is a specific application of swarm intelligence. Its main feature is that it does not need to know the special information of the problem, only needs to compare the advantages and disadvantages of the problem. Through the local optimization behavior of each artificial bee individual, the global optimal value is finally highlighted in the group, and has a faster convergence speed. In order to solve the problem of multivariable function optimization, karaboga proposed the ABC model of artificial bee colony algorithm.)
此程序为本人编写的神经网络法设计1型FIR滤波器的程序，读者读此程序后，可以很深刻地理解如何用BP网络和LMS算法来设计滤波器。 只需更改程序中的H值，即可生成各种低通，高通，带通，带阻滤波器。程序运行结果可得到滤波器系数，幅频曲线和衰减曲线。 可通过更改迭代步长和误差极限来调整滤波器特性。(I prepared for this procedure the neural network type 1 FIR filter design procedures, the reader after reading this program, it is a profound understanding of how to use BP network and the LMS algorithm to design filters. Just change the procedures in H values, to generate a variety of low-pass, high pass, band-pass, band stop filter. Program is running the results of available filter coefficients, amplitude-frequency curve and the attenuation curve. Can change the iteration step size and error to adjust the filter characteristics of the limit.)
基于遗传算法来实现频率采样FIR滤波器的设计，本程序采用的是谢菲尔德的遗传算法工具箱，有各种函数，在工程里面添加了自己的适应度函数。(Based on genetic algorithm to implement the frequency sampling FIR filters, this procedure USES a genetic algorithm toolbox of Sheffield has a variety of functions, in engineering to add his own fitness function.)
计算轮轨接触,包括接触斑的大小。kalker系数等等，包括其系数(Calculation of wheel/rail contact, including the size of the contact spot. Kalker coefficient and so on, including its coefficient)
用差分算法对在线惯序极限学习机的输入权值和偏置进行优化（本程序只限激励函数为sig），其学习时间比极限学习机分批进行学习总共的时间有所提升，诊断精度也提高了。(Algorithm using differential input weights and the bias line Extreme Learning Machine sequencer used to optimize (this program only excitation function for sig), its learning time than the Extreme Learning Machine Learning batches total time has improved diagnostic accuracy also increased.)
基于遗传算法求复杂函数的极值，仅仅改变适应度函数即可以使用(Extremal complex functions based on genetic algorithms, simply changing the fitness function that can be used)
particle swarm optimization 算法用来求解简单的多项式反问题(particle swarm optimization is used to solve the inverse problem in estimating the parameters in polynamial equations)
用Matlab编写的轨迹发生器，输入初始的位置速度，姿态角，姿态变化等信息，模拟得到陀螺仪输出和加速度计的输出(Written with the Matlab path generator, enter the initial position, velocity, attitude, attitude changes and other information, the simulated gyro output and the output of the accelerometer)
二次搜索 优化自动驾驶路径参数 遗传算法 优化自动驾驶路径参数 遗传算法 对倒车位置进行分区(2rd search optimization of autopilot path parameters Optimization of autopilot path parameters by genetic algorithm Genetic algorithm partition the position of reversing)
非常难得的adaboost程序，包括3维adaboost adaboost and rbf 等，非常适合adaboost感兴趣的初学者(Very rare AdaBoost procedures, including 3-dimensional adaboost adaboost and rbf and so on, very suitable for beginners interested in AdaBoost)
rbf神经网络PID解耦控制仿真,现在比较热门的.(rbf neural network PID control, simulation, a more popular.)
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