Search - networks matlab

[Other resource] matlab-ga-nn

Description: 经典的神经网络matlab程序。-classical neural networks Matlab procedures.
Platform: | Size: 4644 | Author: 钱阳 | Hits:

[AI-NN-PR] matlab-bp

Description: 神经网络BP网络的计算程序-neural networks the computational procedures
Platform: | Size: 2048 | Author: 周凡 | Hits:

[matlab] matlab-ga-nn

Description: 经典的神经网络matlab程序。-classical neural networks Matlab procedures.
Platform: | Size: 4096 | Author: 钱阳 | Hits:

Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Platform: | Size: 16384 | Author: | Hits:

[matlab] M-files for Neural Networks

Description: 《M-files for "Neural Networks"》神经网络的一些MATLAB源程序，M-files for demos, exercises, and implementations. 作者：Herve Abdi -"M-files for" Neural Networks "," some of the neural network MATLAB source, M-files for demos, exercises, and implementations. Author : Herve Abdi
Platform: | Size: 60416 | Author: 李岩 | Hits:

[matlab] Fuzzy ART and Fuzzy ARTMAP Neural Networks

Description: 《模糊ART和模糊ARTMAP 神经网络》这些文件包允许你创建、训练、测试模糊ART和模糊ARTMAP神经网络。作者: Aaron Garre-"vague and ambiguous ARTMAP ART neural network" These packages allow you to create, training, testing and Fuzzy Fuzzy ART ARTMAP neural networks. Author : Aaron Garre
Platform: | Size: 17408 | Author: 李岩 | Hits:

[AI-NN-PR] bpjianmo

Description: 反传人工神经网络：MATLAB源程序用于训练测试-Back Propagation Artificial Neural Networks: MATLAB source code for training test
Platform: | Size: 1024 | Author: 良圣张 | Hits:

[AI-NN-PR] NETANN

Description: 多种人工神经网络：MATLAB源程序用于训练测试-variety of artificial neural networks : MATLAB source for training tests
Platform: | Size: 14336 | Author: bigsheng | Hits:

[AI-NN-PR] facematlab

Description: 基于MATLAB一个人脸识别源程序。便于提高应用MATLAB神经网络工具箱。-a face recognition based on MATLAB source. Facilitate the advancement of neural networks MATLAB toolbox.
Platform: | Size: 2048 | Author: 董欣善 | Hits:

[matlab] B.P.Lathi-Matlab

Description: matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。-Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.
Platform: | Size: 17408 | Author: fan | Hits:

[matlab] Elman

Description: MATLAB程序编写的神经网络ELMAN算法，实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
Platform: | Size: 1024 | Author: michael | Hits:

[Special Effects] MATLAB_optical_flow

Description: The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The algo proceeds in 3 steps 1. spatial filtering 2. phase gradient estimation 3. IOC using recurrent networks -The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks
Platform: | Size: 658432 | Author: Jallon | Hits:

[matlab] matlab

Description: MATLAB的一些实例，包括神经网络，小波变换，绘图，GUI等-Some examples of MATLAB, including neural networks, wavelet transform, graphics, GUI, etc.
Platform: | Size: 6144 | Author: shiweiren | Hits:

[AI-NN-PR] rbf_1_01

Description: 径向基函数网络Matlab源代码 -Radial Basis Function Networks Matlab source code for Radial Basis Function Network Matlab source code
Platform: | Size: 19456 | Author: 小东 | Hits:

[Communication-Mobile] WSN

Description: 无线传感器网络的matlab仿真程序，有详细的仿真模块和程序说明。-Wireless sensor networks matlab simulation program, contains a detailed description of the procedures of simulation modules and.
Platform: | Size: 31744 | Author: Helen | Hits:

[Speech/Voice recognition/combine] Jingxiangji_matlab

Description: 径向基神经网络Matlab编程，包含4个分厂不错的Matlab程序，读者可以下载运行一下看看。-Radial Basis Function Neural Networks Matlab programming, including 4 branch good Matlab program, readers can download to run about to see.
Platform: | Size: 4096 | Author: 侯杰 | Hits:

[Windows Mobile] wsn-simulation-in-matlab

Description: Wireless Sensor Networks (WSN) is different than the Cellular Networks as I mentioned earlier. A WSN is composed of a large number of sensor nodes that communicate using a wireless medium (air). The sensor nodes are deployed randomly in the environment to be monitored. The sensor nodes distributed in ad hoc structure. In WSN there is no base station and not all nodes hear each other. The WSN is a multi-hop network. Basic part of my code is to randomly place the sensor nodes in the given space then connecting each two nodes if the distance between them less than or equal to the communication radius.
Platform: | Size: 41984 | Author: khala | Hits:

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