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非常有效的地理信息系统组件，为开发人员提供帮助，第一个是…
很管用的GIS控件，对于进行GIS开发的人员很有帮助，第一次发请多关照-very effective GIS component for GIS development for the staff helpful, first made news conference for the
- 2023-03-17 02:30:05下载
- 积分：1
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PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！...
PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
- 2022-02-06 18:28:51下载
- 积分：1
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A fractal algorithm used to find the shortest path maze, VC achieve, very worth...
用A形算法寻找迷宫的最短路径,VC实现,非常值得一看-A fractal algorithm used to find the shortest path maze, VC achieve, very worth a visit
- 2023-01-22 09:00:04下载
- 积分：1
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Genetic Algorithm NSGA
NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary
- 2022-06-27 09:55:23下载
- 积分：1
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] [Machine learning text classification source code] [machine learning text clas...
【机器学习】文本分类源代码
【机器学习】文本分类源代码 -] [Machine learning text classification source code] [machine learning text classification source code
- 2022-05-06 01:31:13下载
- 积分：1
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In this paper, we designed a 3
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.
- 2022-11-25 09:35:03下载
- 积分：1
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非线性程序之模式识别与控制系统设计.
非线性程序之模式识别与控制系统设计.-nonlinear pattern recognition procedures and control system design.
- 2023-06-28 21:20:02下载
- 积分：1
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遗传算法通用平台
遗传算法通用平台- Heredity algorithm general platform
- 2022-04-16 13:52:31下载
- 积分：1
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模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基...
模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number
- 2022-08-26 01:32:21下载
- 积分：1
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tsp问题用神经网络方法解决
tsp问题用神经网络方法解决-tsp uses neural network solution
- 2022-02-09 20:30:38下载
- 积分：1
