资源列表
MATLAB
- matlab使用layrecnet实现循环神经网络rnn(Matlab uses recurrent neural network to implement recurrent neural network RNN.)
entropy
- 求解信号的香农熵和指数熵，分别从功率谱和奇异谱的角度求解(The Shannon entropy and exponential entropy of signals are obtained.)
DBN
- 深度信念网络，神经网络的一种。既可以用于非监督学习，类似于一个自编码机；也可以用于监督学习，作为分类器来使用。(Deep belief network, a kind of neural network. It can be used for unsupervised learning, similar to a self-coding machine, or supervised learning, as a classifier.)
knn
- matlab 实现鸢尾花数据集的KNN算法(Matlab implementation of KNN algorithm)
BP神经网络预测
- BP神经网络是目前较为简单的预测算法，但是需要要有足够的样本，本例使用神经网络算法，两步预测(BP neural network is a relatively simple prediction algorithm at present, but it needs enough samples. This example uses neural network algorithm and two-step prediction.)
第十章粒子群
- 对多峰搜索问题提出了一类动态微粒群算法,该算法通过变换函数将多峰问题中的所有峰变为等高峰(A kind of dynamic particle swarm optimization (DPSO) algorithm is proposed for multi-peak search problem. The algorithm transforms all the peaks in multi-peak problem into equal peaks by transforming funct
FNN
- 使用PSO和GSA融合算法，训练FNN参数，但是速度较慢，希望大家提些意见，谢谢。(Using PSO and GSA fusion algorithm to train FNN parameters, but the speed is slow. Hope you can make some comments. Thanks.)
simulate
- 利用有记忆的模拟退火算法求解非线性整数规划问题，在考虑到购物要求、分布均衡要求、经济效益、潜在利益、就业效益的情况下如何在北京奥运会主场馆周边地区建设商业点，满足奥运会期间的购物需求、分布基本均衡和商业上盈利。(The memory simulated annealing algorithm is used to solve the non-linear integer programming problem. Considering the shopping requirements, dis
多输入多输出RBF神经网络MATLAB程序
- 多输入多输出的RBF神经网络训练MATLAB程序(RBF Neural Network Training with Multiple Input and Multiple Output)
FA
- 优化算法，基于萤火虫优化算法FA，主要程序为fa(Firefly optimization algorithm)
iwo
- IWD算法是模拟自然界中水滴运动的过程而被发明的，自定义fit函数(IWD algorithm is invented to simulate the movement of water droplets in nature. It defines fit function.)
bagging_svm
- bagging_svm MATLAB实现(the matlab code of bagging and svm .)