▍1. 可以看RNN和LSTM的MATLAB
说明： 作为刚开始研究RNN 的小白，可以看RNN和LSTM的ｍａｔｌａｂ程序，本人刚开始学习 ，把找到的资源分享给大家。(As a novice who just started researching RNN, you can see the matlab program of RNN and LSTM. I just started to learn and share the resources I found.)
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▍2. MobileRobotSimQ
使用Q学习的一种强化学习算法，针对路径规划问题，用Q学习的方法解决(A method to solve planning the path, using Q_study, one method of reforence study.)
▍3. 随机森林
说明： 随机深林改进代码，永年圣诞节比赛的汇报会尽快把(sufghiushuisbvcisuhvvnaskdivhadsio)
▍4. PSO-BP
用粒子群优化法对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。(Using particle swarm optimization method for weights and threshold of BP neural network optimization, improve precision of the neural network operation.)
▍5. sphere
三种PSO算法对20维非线性ackley函数进行优化求解的仿真函数(The three PSO algorithm simulation function 20-dimensional nonlinear Ackley function optimization solutions)
▍6. rjMCMC1
一个可逆跳转蒙特卡罗采样（RJMCMC）算法详细程序，内附相关论文，对照论文看算法，便于理解。包含多种运动方式（增加，减少，分裂，合成，更新）(A Reversible Jump Monte Carlo sampling (RJMCMC) algorithm detailed procedures, enclosing the relevant papers, watch the control thesis algorithm, easy to understand. Contains a wide range of movement (increase, decrease, fragmentation, synthesis, update))
▍7. AGA-PPR
投影寻踪优化算法源码，投影方向及参数采用改进的自适应遗传算法(Projection Pursuit improved adaptive genetic algorithm optimization algorithm source, projection direction and parameters)
▍8. CNN-
CNN卷积神经网络MATLAB源代码(CNN convolutional neural network MATLAB code)
▍9. CNN-code
深度学习CNN网络，有详细的注释,非常好的参考资料(Depth study CNN network, there are detailed notes, very good reference)
▍10. 基于GA_LSSVM特征选择的烟叶识别
说明： 基于遗传算法与最小二乘支持向量机的特征选择的烟叶识别(GA-LSSVMlabv1_8_R2016b_)
▍11. Gravitational-Search-
根据相关文献编写的智能算法，本算法为引力搜索算法，可根据需要用在相关的例子上。(According to literature written algorithm, the algorithm for the intelligent algorithm, can be used in the relevant examples on.)
▍12. Gravitational-Search-
根据相关文献编写的智能算法，本算法为引力搜索算法，可根据需要用在相关的例子上。(According to literature written algorithm, the algorithm for the intelligent algorithm, can be used in the relevant examples on.)
▍13. PCA_wine
使用PCA降维的一种用于葡萄酒分类的经典算法，给大家参考下(Using PCA dimensionality reduction of a wine classification of the classic algorithm, to your reference)
▍14. PSO-BP
利用PSO算法优化BP神经网络，得到适应度函数曲线图(PSO to optimize the BP neural network)
▍15. Peking_University_PSO_All_in_one
北京大学计算智能研究室几位计算智能教授的辛苦结晶，包含粒子群算法源代码，PPT文档说明，十五个典型的测试函数，算法注释详尽，简明扼要，是难得的粒子群算法学习材料(Institute of Computational Intelligence Computational Intelligence Research Laboratory Professor of several hard crystal that contains the source code for Particle Swarm Optimization, PPT documentation, 15 typical test functions, the algorithm notes detailed and concise, is a rare particle swarm optimization learning materials)
▍16. FLO
基于粒子群优化算法的无源模拟滤波器优化设计方法容易陷入局部最优,收敛速度慢迭代次数多、运算量大且稳定性不够好。提出果蝇优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值,实例仿真表明,采用该方法设计的滤波器在相同的带宽准确度及阻带衰减的情况下,具有更快的运算速度及收敛性能。(Passive analog filter optimization algorithm based on particle swarm optimization design method is easy to fall into local optimum, the slow convergence iterations, large amount of computation and stability is not good enough. Efficient parallel search proposed Drosophila optimization algorithm for the whole parameter space of the filter until the optimal parameter values, the simulation results show that the designed filter in the case of the same bandwidth accuracy and stop-band attenuation, faster computing speed and convergence performance.)
▍17. PID-neural-network
这个工具箱描述了基于PID神经网络的后非线性盲源分离算法(The toolkit is described based on PID neural network nonlinear blind source separation algorithm)
▍18. PID-neural-network
这个工具箱描述了基于PID神经网络的后非线性盲源分离算法(The toolkit is described based on PID neural network nonlinear blind source separation algorithm)
▍19. recognizesEMG
把肌电信号的特征值提取出来进行人工网络识别(EMGs eigenvalue extracted manual network identification)
▍20. bayes_bpnet
采用贝叶斯正则化算法提高 BP 网络的推广能力。我们采用两种训练方法，即 L-M 优化算法（trainlm）(?捎??)
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