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本书论述在MATLAB环境下如何实现神经网络,包括了常用的神经网络及相关理论,如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related theory, combined with the BP neural network, RBF neural network, SVM, SOM neural network, grey neural network, decision tree, random forest, wavelet neural network and NARX neural network, optimization algorithm and neural network.))
Date : Size : 726kb User : ES1569

图像经过双随机处理和分数阶傅里叶变换,可以达到加密解密的功能,且对密钥敏感性较强。(The image undergoes double random processing and fractional Fourier transform, which can achieve the function of encryption and decryption, and has strong sensitivity to the key.)
Date : Size : 221kb User : 追梦苦旅

Qdemo演示程序 Qlearning Q学习主程序 调用 drnd(随机变量生成函数) 任务改变时,要设当改变execut子函数和一些脚标变换函数。 用于打印状态的statements也要改一下。(Qdemo demo The main program Qlearning Q learning Call DRND generating function (random variables))
Date : Size : 2kb User : 如如有理想

基于球不变随机过程法,使用复合高斯模型来产生K分布杂波数据的matlab仿真程序 (为了不低于上传文件的大小要求传了两份一样的,编程就几句话实在弄不大)(A matalab simulation program for producing K distribution clutter data, which used compound Gauss model, and is based on spherically invariant random vector method)
Date : Size : 1kb User : Akiraaa

决策与随机森林样例,matlab,简单的样例。(Decision making and random forest samples, MATLAB, simple examples)
Date : Size : 969kb User : 阳光1552

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随机蓄意攻击对比 攻击效果对比的图形 最后还有半数致死量(random attack and on purpesrandom attack and on purpesrandom attack and on purpes)
Date : Size : 8kb User : 了不起的sb

改进DV-Hop定位算法 首先设置初始量,布置了一个范围为100×100m2的区域,其上随机分布100个传感器节点,其中有10个信标节点,节点的通信半径为30m。 第二步在正方形区域内产生均匀分布的随机拓扑,随机产生节点坐标并将其中十个选定为信标节点,其余九十个设为未知节点,然后画出节点分布图。 第三步通过最短路径法计算未知节点与每个信标节点的最小跳数。 第四步根据前面记录的其他信标节点的位置信息和相距跳数估算平均每跳的实际距离,用跳数估计距离的方法得出未知节点到信标节点的距离。 第五步用极大似然估计法求未知节点坐标 (Improved DV-Hop localization algorithm first set the initial amount, layout 100100m2 the area of ​ ​ a range of 100 sensor nodes randomly distributed on the 10 beacon node, the node communication radius of 30m. The second step in the square area to generate uniformly distributed random topology, random coordinates of the nodes and ten of the selected beacon node, the remaining 90 is set to unknown node, and then draw the node distribution diagram. The third step is to calculate the minimum number of hops of the unknown node and each beacon node through the shortest path method. The fourth step according to the location information of the other beacon nodes in the previous record and away from hops to estimate the average hop distance and hop count to estimate the distance to come to the distance of the unknown node to beacon nodes. The fifth step maximum likelihood estimation method and the unknown coordinates of the nodes)
Date : Size : 1kb User : robinkk4

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RRT快速随机扩展树的算法整理,包含4个不同版本的代码,已整理好,都可用(RRT fast random spanning tree algorithm for sorting contain four different versions of the code has been collated all the available version 4 codes are matlab)
Date : Size : 87kb User : 勗嘼

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随机森林负荷预测,随机森林是一种分类器,在负荷预测中的应用很少。(Random forests load forecasting,Random forests is a kind of classifier, rarely used in load forecasting)
Date : Size : 158kb User : 郭永明

MIMO天线选择算法中,基于最优选择算法和范数选择算法和随机选择算法的程序,能够简化硬件结构,降低通信算法的复杂度,提高通信的可靠性。穷举法,递减,递增等。(In MIMO antenna selection algorithm, the program based on optimal selection algorithm and norm selection algorithm and random selection algorithm can simplify the hardware structure, reduce the complexity of communication algorithm and improve the reliability of communication. Exhaustive method, decreasing, increasing, etc.)
Date : Size : 77kb User : ``afhdfhs

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测试可以跑,根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个(原文献说最好与参考点个数相同)个体的初始种群,其中 N 是种群大小。接下来,算法进行迭代直至终止条件满足。在第 t 代,算法在当前种群 Pt的基础上,通过随机选择,模拟两点交叉(Simulated Binary Crossover,SBX)和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此,两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代,首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层(F1,F2等等)。然后,算法构建一个新的种群St,构建方法是从 F1开始,逐次将各非支配层的解加入到 St,直至 St的大小等于 N,或首次大于 N。假设最后可以接受的非支配层是 L层,那么在 L+ 1 层以及之后的那些解就被丢弃掉了,且 St\ FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取,选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)
Date : Size : 14kb User : 朱朱521

Copula一词原意为连接,它把多个随机变量的边缘分布连接在一起形成联合分布。变量间的相关结构完全由Copula决定,而各变量的统计特征由其边缘分布确定。与我们描述变量问相关关系常用的相关性相比,Copula描述的多元随机变量间的相关结构可以提供更准确的信息,目前Copula已经成为流行的多变量建模工具。(Copula is originally meant to connect the edge distributions of multiple random variables together to form a joint distribution. The correlation structure between variables is completely determined by Copula, and the statistical characteristics of each variable are determined by its edge distribution. Copula is a popular tool for multivariate modeling, which can provide more accurate information than the commonly used correlations for describing intervariate relationships.)
Date : Size : 144kb User : 鳗鱼曼玉

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(1) 数据源:随机产生752*8bit作为数据源 (2) 按照DTMB的能量扩散初始相位和生成多项式来产生伪随机数据并对原始数据源进行加扰 (3) 加扰后的数据直接进行解扰,观察误码率的值,验证加扰算法 (4) 按照DTMB标准构造BCH(1023,1013)来实现BCH(762,752)信道编码器和解码器,并观察其误码率是否为0来验证其正确性。 (5) 最后把能量扩散和BCH编码级联,接收端把BCH解码和解扰级联,观察其误码率,验证正确性。(((1) Source: randomly generated 752* 8bit as data source (2) in accordance with the energy of the initial phase and the diffusion DTMB generator polynomial to generate a pseudo-random data and the original data source scramble (3) the scrambled data is directly descramble, the bit error rate of the observed values, verification scrambling algorithm (4) In accordance with DTMB standard configuration BCH (1023,1013) to achieve the BCH (762,752) channel encoder and decoder and observe its error rate is 0 to verify its correctness. (5) Finally, the energy dispersal and BCH coding cascade, the receiving end of the BCH decoding and descrambling cascade observed error rate, to verify the correctness.))
Date : Size : 1kb User : hahaha1997

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神经网络BP,随机森林,决策树,遗传算法等 数苑炼金网课文件,详细代码注解(Neural Network BP, Random Forest, Decision Tree, Genetic Algorithms, etc. Course Documents of Shuyuan Alchemy Network, Detailed Code Annotations)
Date : Size : 65.98mb User : jhjjk

用于求解单目标优化问题的正弦余弦算法。 SCA创建多个初始随机候选解决方案,并要求它们使用基于正弦和余弦函数的数学模型向外波动或朝向最佳解决方案。几个随机和自适应变量也被集成到该算法中,以强调在不同的优化里程碑中探索和利用搜索空间。 压缩包包括:发表的论文、优化算法代码、优化工具箱。(Sine-cosine algorithm for solving single objective optimization problems. SCA creates multiple initial random candidate solutions and requires them to use mathematical models based on sinusoidal and cosine functions to fluctuate outward or towards the best solution. Several random and adaptive variables are also integrated into the algorithm to emphasize exploring and utilizing search space in different optimization milestones. Compression packages include: published papers, optimization algorithm code, optimization toolbox.)
Date : Size : 2.98mb User : 一江月

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matlab中随机森林工具箱,可直接下载使用(Random Forest Toolkit in matlab, which can be downloaded and used directly)
Date : Size : 842kb User : 睡到自然醒6

要说随机森林,必须先讲决策树。决策树是一种基本的分类器,一般是将特征分为两类(决策树也可以用来回归,不过本文中暂且不表)。构建好的决策树呈树形结构,可以认为是if-then规则的集合,主要优点是模型具有可读性,分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the mode of the output categories of individual trees.)
Date : Size : 8kb User : 蓝兰lan

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matlab随机地震振动生成 地震振动分析(Random seismic vibration generation of MATLAB)
Date : Size : 2kb User : 奔跑的小风

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随机地震振动生成 可以用于结构的动力分析(Random seismic vibration generation of MATLAB)
Date : Size : 1kb User : 奔跑的小风

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随机产生5类二维坐标系中的数,使用SOM网络进行无监督聚类,将产生的随机数自动聚成五类,并将结果用图像直接显示出来,生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated are automatically clustered into five categories, and the results are displayed directly with images to generate the trained weights of the network.)
Date : Size : 56kb User : xldtyh
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