资源列表
Standard-LSA
- 一种新的智能优化算法：闪电算法，用无约束优化测试函数进行验证，效果不错，值得推广，该算法的文献已被SCI检索，百度学术也可搜索到-A new intelligent optimization algorithms: Lightning algorithm, using unconstrained optimization test function to verify, the effect is good, worthy of promotion, the literature of the
WOA_Toolbox
- matlab鲸鱼算法工具箱,包含多种无约束测试函数，多种算法进行比较，GUI界面良好，是今年国外学者新提出的仿生智能优化算法-Whale algorithm matlab toolbox contains a variety of unconstrained test functions, a variety of algorithms are compared, a good GUI interface is intelligent bionic year foreign scholars p
YYH1218
- 支持向量机（svm）的matlab程序仿真-Support vector machine (matlab) SVM program simulation
WT_NN
- Wavelet analysis is used as a pre processor for a back-propagation neural network with conjugate gradient learning. The inputs to the neural network are the wavelet maxima neighborhood coefficients of face images at a particular scale. The output of
GRNN
- 本案例是采用GRNN（径向基）神经网络预测水资源量，GRNN神经网络适合于小样本、高精度预测，本实例附有数据（不全），下载者可以直接将数据更改为自己的数据便可以使用。程序中使用了交叉验证方法，使预测精度大大提高-This case is the use of GRNN (Radial Basis Function) neural network to predict the amount of water, GRNN neural networks suitable for small samp
SA-GA-ALGRITHM-C
- 模拟退火算法是基于Monte Carlo迭代求解法后种启发式随机搜索算法，它模拟固体物质退火过程的热平衡问题与随机搜索寻优问题的相似性来达到寻找全局最优或近似全局最优的目的-SA GA
anneal
- 模拟退火算法来源于固体退火原理，是一种基于概率的算法，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小-Simulated annealing algorithm derived solid Annealing is a probability-based algorithm, the solid is heated to a sufficiently high, and a
fuzzy
- 利用MATLAB软件进行故障分析，自己编写的模糊神经网络故障识别程序-Using MATLAB software for fault analysis, the preparation of fuzzy neural network fault identification procedures
TMSVM
- TMSVM开源的文本挖掘代码,C++代码写的比较清楚，值得研究。-TMSVM opensource text mining code
C-ant
- 运用蚁群算法求解TSP问题，蚁群算法十几年来研究比较热门的人工智能算法，应用在很多领域，如TSP、JSP等。-The use of ant colony algorithm to solve the TSP problem, ant colony algorithm for more than ten years of research and more popular artificial intelligence algorithms, applications in many fields
demoadaboost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same for a training set different classifiers (weak classifiers), and then set up these weak classifiers to form a
bp1
- 学习神经网络的简单例子，调用 TRAINGDM 算法训练 BP 网络 ，然后进行仿真。-A simple example of learning neural network algorithm calls TRAINGDM BP network training and simulation.