资源列表
yc-tsp
- 遗传算法解TSP问题的代码,vs2005编译
EM
- EM算法Matlab实现。最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
ant_CSharp
- 本算法为基于TSP的蚁群算法，已经运行过。是学习蚁群算法的很好的例子。-ant colony algorithm for TSP.
chapter2
- BP神经网络，用于非线性系统建模，非线性系统拟合等-BP neural network for nonlinear system modeling, nonlinear system fitting
brainBp
- 本\"人工神经网络\"共有13个神经元构成，4个为输入神经元，1个为输 出神经元。也就是说，这个程序最多能处理一个四元关系(包含了二元， 三元)。-the "artificial neural network," a total of 13 neurons constitute, four input neurons, an output of the neurons. In other words, this procedure can handle a m
ID3
- ID3算法，对随机生成的15组数据进行最佳分类，得到最佳决策树-ID3 algorithm, randomly generated 15 sets of data were the best classified, best decision tree
BP_Hidden1234
- 基于双隐含层BP神经网络的预测，样本产生、归一化、BP网络训练、预测-Prediction based on double hidden layer of BP neural network, BP network training samples produced, normalization, and forecasting
myBackPropagation
- The principle of back propagation is actually quite easy to understand, even though the maths behind it can look rather daunting. The basic steps are: Initialise the network with small random weights. Present an input pattern to the input la
ga
- 带详细解说的C语言遗传算法源码，供大家理解学习用。-The genetic algorithm source code with a detailed explanation of the C language for everyone to understand learn.
Discrete_PSO_TSP_C
- 离散粒子群算法（Discrete PSO）C语言源代码。 附带有利用D-PSO解决旅行商问题(TSP)的代码可作为使用时的Demo参考-discrete particle swarm algorithm (Discrete PSO) C language source code. Incidental use of a D-PSO solve the traveling salesman problem (TSP) code can be used as a reference when t
psojiejuefenpai
- PSO解决分派问题，有说明，对初学者非常实用。-PSO to solve distribution problems, there are shows that are very useful for beginners.
GeneticAlgorithm
- 该程序是一个比较好的学习遗传算法模型的算例