▍1. QGA
本程序对量子遗传算法中的量子旋转门的调整策略进行改进，并应用于旅行商（TSP）的适应度问题(Fitness problems this procedure quantum genetic algorithm quantum revolving door policy adjustment is improved and applied to the traveling salesman (TSP) of)
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▍2. meng-dehaze_code
meng改进的何凯明的暗通道先验去雾算法。(dark channel prior)
▍3. lstm网络数据处理
lstm网络数据处理，网络训练以及权重自动训练更新。(data processing,network training and weight updating)
▍4. DE-BP15.7.5
用差分算法优化BP神经网络的参数，用于压阻式压力传感器温度补偿(Using finite difference algorithm to optimize the parameters of BP neural network, it is used for temperature compensation of piezoresistive pressure sensor)
▍5. 遗传算法-函数优化案例 (2)
说明： 遗传算法优化，可以解决遗传算法等问题 非线性方程求解(Genetic algorithm optimization)
▍6. 2016_GAN_Matlab-master
GAN的matlab版本，用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
▍7. 多目标优化进化算法
按照外文经典文献的步骤和流程，在matlab环境下编写了多目标优化进化算法程序。在外文经典文献中，有该算法的子函数开源代码，程序运行速度快、精度高。文件由主程序和子函数构成，共7个.m文件。(According to the steps and process of foreign literature, a multi-objective optimization evolutionary algorithm program is written in Matlab environment. In foreign literature, the open source code of this algorithm is developed, and the program runs fast and has high precision)
▍8. 算法协同聚类
说明： 利用matlab语言实现了协同模糊聚类算法(The collaborative fuzzy clustering is realized by MATLAB language)
▍9. 整数编码，动态调整交叉概率、变异概率using-GA-in-antenna-array
提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计(Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic algorithm optimization method to achieve linear sparse array design)
▍10. 设备故障类型的模式识别bpbyq
bp神经网络算法，用于设备故障类型的模式识别，此例为变压器故障类型识别，并有变压器仿真数据(bp neural network algorithm for equipment failure type of pattern recognition, in this case for the transformer fault type identification, and a transformer simulation data)
▍11. 遗传算法计算中国34个城市邮递员问题
遗传算法计算中国34个城市邮递员问题，matlab代码全部。(Computing Urban Postman Problem with Genetic Algorithms)
▍12. demo
说明： 遗传算法计算中国34个城市邮递员问题，matlab代码全部。(Computing Urban Postman Problem with Genetic Algorithms)
▍13. 简单的PSO算法例程
说明： 简单的PSO算法例程，基于多个测试函数。(PSO algorithm has its advantages to optimize multimodal functions with many local minima by selecting a suitable percentage of rangers. At this situation, the search agent had a fast convergence rate and converged to the global optimal.)
▍14. chap4_5
基于RBF神经网络辨识的单神经元PID模型参考自适应控制(RBF neural network-based identification of single neuron PID MRAC)
▍15. 深度机器学习DBN
深度神经网络算法，可直接用用于模型训练，进行机器学习。算法可靠。(The deep neural network algorithm can be directly used for model training and machine learning. The algorithm is reliable.)
▍16. 16、CNN学习
本程序为视觉机器学习卷积神经网络的仿真代码。(This is a visual machine learning convolution neural network simulation code.)
▍17. 深度机器学习DBN
说明： 深度神经网络算法，可直接用用于模型训练，进行机器学习。算法可靠。(The deep neural network algorithm can be directly used for model training and machine learning. The algorithm is reliable.)
▍18. ACA_QoS_MR
ACA_QoS_MR时蚁群算法在组播路由中的应用，输出最优组播树（01邻接矩阵表示）,最优组播树所有的边,最优组播树的费用(ACA_QoS_MR ant colony algorithm for multicast routing output optimal multicast tree (01 adjacency matrix), all the edges of the optimal multicast tree, the optimal multicast tree cost)
▍19. caodichaoshi
贝叶斯网络的经典应用，是入门学习贝叶斯的一个经典的例子，很好用，很好理解(Bayesian network of the classic application, very good understanding, is the study of the bayesian introductory material )
▍20. Chaostic APSO，对加速粒子群优化的改进版本CAPSO
Chaostic APSO，对加速粒子群优化的改进版本。相较于普通加速粒子群优化，该版本不仅收敛速度更快，而且加强了陷于局部最优的能力。(Chaostic APSO, an improved version of accelerated particle swarm optimization. Compared with conventional accelerated particle swarm optimization, this version not only converges faster, but also enhances the ability to trap in local optimum.)
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