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广义异或集成神经网络算法
- 本程序用C语言实现了集成神经网络解决广义异或问题。用神经网络集成方法做成表决网,可克服初始权值的影响,对神经网络分类器来说:假设有N个独立的子网,采用绝对多数投票法,再假设每个子网以1-p的概率给出正确结果,且网络之间的错误不相关,则表决系统发生错误的概率为 Perr = ( ) pk(1-p)N-k 当p<1/2时 Perr 随N增大而单调递减. 在工程化设计中,先设计并训练数目较多的子网,然后从中选取少量最佳子网形成表决系统,可以达到任意高的泛化能力。 -this pro
A_very_sim977756232002-457852ngfppr2567
- A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layer
knn_vb
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
vote
- 马尔科夫链的实例——选民投票率预测 根据本次的投票率预测以后的投票率。 X为选民矩阵，T为状态转移矩阵，验证X月X*T所示的人数是一致的。-Instance of the Markov chain- voter turnout forecast to predict voter turnout in the future based on voter turnout. T is the state transition matrix, to verify that X months X*
link-list-as-a-queue-
- // Author: Mohammed Ali Akbani // E-mail: duke@samwonline.com // Level : beginner // Please do not repost it in you name, and vote for me.
ID3
- ID3算法流程如下： 1.如果节点的所有类标号相同，停止分裂； 2.如果没有feature可供分裂，根据多数表决确定该节点的类标号，并停止分裂； 3.选择最佳分裂的feature，根据选择feature的值逐一进行分裂；递归地构造决策树。-ID3 algorithm process is as follows: 1. If the node is the same for all class label, stop dividing 2. If there is no featur
NLDA
- 利用matlab实现基于NLDA的人脸识别算法，如有需求做RLDA和bagging NLDA并利用sum rule或者majority rule请参照http://shop.zbj.com/14563255/sid-1213623.html-Matlab codes for NLDA, bagging NLDA, random sampling LDA, Integrating Random Subspace and Bagging for LDA Based Face Recognition
bagging-NLDA-and-RLDA
- 利用matlab实现NLDA人脸识别算法，更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码，人脸库使用ORL库或者XM2VTS库，地址：http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r