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【matlab】 baotong DL : 0: 一个报童从报刊发行中心订报后零售，每卖一份报纸可赚钱a元；若报纸卖不出去，则退回发行处，每退一份要赔钱b元。每天报童卖出的份数是随机的，但报童可以根据以往卖报情况统计得到每天卖k份报纸的概率密度p(k)。（1）求报童每天期望收益达到最大（或损失达到最小）的定报量z。（2）改变参数a/b的值，观察订报量的最优值变化，画出变化曲线。试画出仿真流程图，进行程序实现，并对仿真结果进行分析。 -A newsboy subscribe from the press after the retail distribution centers, each sale of a newspaper can make money a million if newspapers can not be sold, then returned to Issue Department, each retire to a loss of a b element. Newsboy sold shares in a day is random, but the newsboy can sell based on past statistics reported to be selling daily newspaper k the probability density p (k). (1) seeking newsboy expected profit per day to maximize (or minimize loss) reported that the volume of fixed-z. (2) change the parameters a/b values, subscribe to observe changes in the volume of the optimal value, draw curve. Simulation test to draw a flow chart for program realization, and simulation results for analysis.
Update : 2024-05-14 Size : 1024 Publisher : AZOTH
【AI-NN-PR】 kmedia DL : 0: 用matlab语言实现k均值的模式识别的聚类算法-Matlab language used k-means clustering algorithm for pattern recognition
Update : 2024-05-14 Size : 1024 Publisher : lealvin
【Special Effects】 k_uiniform DL : 0: k均值算法的matlab程序，可直接运行。-k-means algorithm matlab procedures, can be directly run.
Update : 2024-05-14 Size : 1024 Publisher : jie
【matlab】 PatternRecognition DL : 0: 1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法-1.Fisher Classification Algorithm 2. Perceptron algorithm 3. Least-squares algorithm 4. Fast nearest neighbor 5.K-neighbor method 6. Clips neighbor neighbor method and compression method 7. Binary Decision Tree Algorithm
Update : 2024-05-14 Size : 8192 Publisher : wct
【AI-NN-PR】 c-mean DL : 0: C-means 算法，模式识别中常用到的C均值聚类算法，使用VC开发，版权归开发者所有-C-means algorithm, pattern recognition used in the C-means clustering algorithm, the use of VC development, belongs to all developers
Update : 2024-05-14 Size : 578560 Publisher : 门昌骞
【AI-NN-PR】 kmean DL : 0: 基于k均值聚类学习算法的rbf神经网络实现-K-means clustering-based learning algorithm of rbf neural network
Update : 2024-05-14 Size : 1024 Publisher : 吴强
【matlab】 k_medoids DL : 0: 聚类算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。这里是MAtlab源代码。-err
Update : 2024-05-14 Size : 9216 Publisher : 烈马
【Graph program】 knn DL : 1: knn k近邻算法，可选择欧式距离或者曼哈顿距离-knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance
Update : 2024-05-14 Size : 1024 Publisher : zc
【AI-NN-PR】 RBF DL : 0: 文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.
Update : 2024-05-14 Size : 165888 Publisher : luhui
【Speech/Voice recognition/combine】 kmatlab DL : 0: k阶距的动态聚类程序，对语音识别有帮助，希望大家看看！-k-distance dynamic clustering procedures, voice recognition will help, I hope to see everyone!
Update : 2024-05-14 Size : 4096 Publisher : 海豚
【matlab】 knn DL : 0: KNN K-nearest neighbor rule for classification -KNN K-nearest neighbor rule for classification
Update : 2024-05-14 Size : 1024 Publisher : 鲁剑锋
【Algorithm】 Ckmedoids DL : 0: K-mean算法，并通过了IRIS数据的测试。-K-mean algorithm, and through the IRIS data testing.
Update : 2024-05-14 Size : 3072 Publisher : 雅双
【Ftp Server】 Java_Socke183657142005 DL : 0: 一个基于Java编写的Socket程序，提供简单的FTP功能实现 This networking program set consists of implementation of FTP, TELNET, HTTP SERVER, UDP NEWS SERVER, Multi client parallel chat server, Date server. Knowledge of socket programming, applet, AWT, thread, and IO streams is essential to understand these programs. All Program Tested in JDK 1.4, and Run Successfully. Do not forget to run server program before starting client program. Developed By: Divyen K Pate-A Java-based Socket procedures prepared to provide a simple FTP functions This networking program set consists of implementation of FTP, TELNET, HTTP SERVER, UDP NEWS SERVER, Multi client parallel chat server, Date server.Knowledge of socket programming, applet, AWT , thread, and IO streams is essential to understand these programs.All Program Tested in JDK 1.4, and Run Successfully.Do not forget to run server program before starting client program.Developed By: Divyen K Pate
Update : 2024-05-14 Size : 46080 Publisher : Tony Yau
【Data structs】 UpperNum DL : 0: 给定一个数组A，里面只出现0-9这10个数字，但不一定全部出现，然后给定一个K的值，求A中大于K的整数当中最小的一个，并输出。例如A={0，1}， k =12,则结果为100. vc++ 2005环境-Given an array A, which only the 10 digits 0-9, but not necessarily all appear, and then given a value of K, and K is greater than A, the smallest integer among a and output. For example, A = (0,1), k = 12, while the results for the 100. Vc++ 2005 Environment
Update : 2024-05-14 Size : 4096 Publisher : inspire
【Special Effects】 K DL : 0: 模式识别中的K均值聚类算法简单易行编码通俗易懂-Pattern Recognition in the K-means clustering algorithm for a simple user-friendly coding
Update : 2024-05-14 Size : 10240 Publisher : 花花
【matlab】 MatlabK-means DL : 0: 用matlab语言实现K-MEANS聚类算法-Matlab language used K-MEANS CLUSTERING ALGORITHM
Update : 2024-05-14 Size : 6144 Publisher : 刘年
【3D Graphic】 kdtree DL : 0: K-D树源码，不错的空间查找算法，在三维重建和匹配中应用较多！-KD tree source, good space search algorithm, in the three-dimensional reconstruction and matching the application of more!
Update : 2024-05-14 Size : 105472 Publisher : yangronghao
【AI-NN-PR】 KNN DL : 1: K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
Update : 2024-05-14 Size : 1024 Publisher : skyfly
【JSP/Java】 KShortestPaths DL : 0: K-shortest算法实现，采用Java语言，能根据不同的拓扑找到k条最短路径。非常经典。-K-shortest algorithm using Java language, can be found according to different topological k be the shortest path. Very classic.
Update : 2024-05-14 Size : 49152 Publisher : wei
【Mathimatics-Numerical algorithms】 Kmean DL : 0: 自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
Update : 2024-05-14 Size : 4096 Publisher : 陳志強

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