java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）...

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,

软件无线电中信号调制方式的识别――用人工神经网络的方法-Software Defined Radio Signal Modulation Recognition- Using Artificial Neural Networks approach

识别动物的专家系统,包括长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统,表现了专家系统的框架结构-Expert system to identify animals, including giraffes, zebras, ostriches, penguins, albatrosses and other seven animals, a simple expert system, the performance of the expert system framework

国内的一个A*算法演示，可以自己画地图，演示效果非常好-domestic A* algorithm for a demonstration, can you paint maps, the effect was very good demonstration

一个简单的遗传算法 采用实数编码、比例分配轮盘赌选择、杂交采用离散与算术双重杂交、一般性变异。-A simple genetic algorithm using real-coded, proportional allocation of roulette selection, hybrid discrete and numeracy double hybridization, general variation.

PCA codes for face detection

用c#实现的fcm算法 采用iris数据进行验证-With c# Realize the FCM algorithm uses iris data validation

关于多目标规划的算法，是个好东西，快来下载吧-On the multi-objective programming algorithms, is a good thing, Come to download it

Boltzmann Machine Optimization 人工智能人工神经网络源码-Boltzmann Machine Optimization of artificial neural network artificial intelligence source

BP神经网络的C语言实现，对理解神经网络很有帮助。-BP neural network to achieve the C language, very helpful in understanding the neural network.