资源列表
ANN-Practical-course
- 人工神经网络实用教程。本书主要讲解了人工神经网络的理论基础和部分应用。-ANN Practical course
sga
- 基于matlab的遗传算法优化问题。很适合初学者。源码注释很清晰。-The genetic algorithm and optimization based on matlab
TSforTSP
- 禁忌搜索是人工智能的体现，是在局部邻域搜索的基础上发展起来的-Tahu Search is proposed by Glover(1986),which is based on neighood..
ACforTSP
- 蚁群算法是一种新型群智能算法，为求解旅行商问题提供新的方法-ANT CLONY algorithm is a new method to solve tsp.
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
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
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.