资源列表
2level0520
- 连轧过程控制仿真程序，其中包括用自适应遗传算法进行优化的代码-rolling process control simulation programs, including adaptive genetic algorithm optimized code
BP算法基本程序
- 基本的BP神经网络框架，比较适用于初学者快速掌握神经网络的构成。-basic framework BP neural network, suitable for beginners to grasp the composition of neural networks.
Algorithm-SVM-0.11.tar
- 在人工智能中模式识别比较新的分类算法,支持向量机.用于特征分类.-A new classify arithmetic of pattern-recognition in artificial intelligence,use support vecotr machine to classify the characteristic
LNMF
- 人工智能模式识别中基于非负矩阵分解生成特征空间的算法-artificial intelligence pattern recognition based on non-negative matrix factorization generation features of the algorithm space
libsvm-mat-2.8-1
- 人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.
svm7
- 支持向量机源码，vc编写，对于svm初学者非常使用非常方便-The coad of svm,base on vc,and it is useful to beginner.
Genetic最短路径
- 在vc控制台中运行，用遗传算法求解最短路径，用邻接矩阵表示路线图。-in vc console operations, Genetic Algorithm for the shortest path, adjacency matrices road map.
经典的BPN人工神经网络例子源码
- 经典的BPN人工神经网络例子源码,可用于函数逼近，预测等方面-classic example of artificial neural network source, function approximation can be used to forecast etc.
简单的遗传算法例3个
- 简单的遗传算法的例子,对于遗传算法的初学者来说非常有用.-Simple genetic algorithm examples.it very helpful for the beginners of genetic algorithm
人工智能要求
- //主函数，主要是用于启动用于模拟虚存活动和进行监控的两个线程；-/ / main function is mainly used to launch virtual memory used to simulate and monitor activities of the two threads;
C4.5算法源程序
- C4.5算法进行决策树生成 以信息增益最大的属性作为分类属性，生成决策树，从而得出决策规则。-C4.5 decision tree algorithms to generate information gain the greatest attribute as a classification attributes, generate decision tree, and came to decision-making rules.
374
- 神经网络算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序。-neural network algorithm source, such as SOM, Hopfield, CPN, 7.82, BOLTZMAN, ART, ADALINE, while providing for different algorithms demo source.