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matlab BP算法例程（神经网络）
独自首创BP_Matlab.rar-Matlab routines (neural networks) alone in first BP_Matlab.rar
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there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators
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支持向量机非线性回归通用matlab程序
支持向量机和BP神经网络非线性回归之比较研究-SVM nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study
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Character Recognition Using Neural Networks
Steps to use this GUI.
1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)
2. First we need to teach Character to computer. For this ty
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Version : 5.0 (New Version)
1- copy all files and directories to the MATLAB's work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- find the file named "main.m"
3- Double click
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本资源是大学本科课程所用的PPT课件，详细阐述了神经网络的发展史、理论基础、典型实例、控制模型和MATLAB中UN工具箱的使用。,The resources are used in undergraduate courses of the PPT courseware, detailed history of the development of neural networks, theoretical basis, a typical example, the control model an
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该软件包采用MATLAB和C混合编程的方法实现了计算智能界新发现的, 也是国际最流行的神经元算法, 即Spike-Timing Dependent Plasticity. 本人完全独立设计及编制了该软件包,并经大量计算机模拟实验验证, 得到了权威专家的认可. 该软件包实现了复杂的STDP算法, 且全部参数可调. 本人使用此软件包进行的实验结果已经发表在IEEE Transactions on Neural Networks, Neurocomputing, IJNS等国际权威刊物上. 请放心使用
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matlab里的gatbx遗传算法工具箱，内有使用说明.适用于寻找最优点及支持向量机和神经网络的参数优化。-the gatbx genetic algorithm toolbox in matlab, with instructions for use. applied to find the most advantages and parameter optimization of support vector machines and neural networks.
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神经网络中模拟退火算法MATLAB源程序,挺不错的，大家可以学习一下。-Neural networks simulated annealing algorithm in MATLAB source code, very good, we can learn from you.
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This is My extensive work on Neural networks and includes my MATLAB simulated programs applied for neumerous examples for XOR problems,Hebb s Rule,Back Propagation Algorithms in doc.Whoever Interested can stright away use them and get it executed in
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算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。
主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以
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内容包括:人工神经网络简介、单层前向网络及LMS学习算法、多层前向网络及BP学习算法、支持向录机及其学习算法、Hopfield
神经网络,随机神经网络及模拟退火算法、竟争神经网络和协同神纤网络。每章均给出了基于MATLAB的仿真实例以及练习。
-Contents include: Introduction to artificial neural networks, single-layer feedforward network and the LMS learning algorit
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本文将BP神经网络应用于车牌的自动识别，在简述BP神经网络的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别，用MATLAB完成了对车牌照数字识别的模拟，最后得出实验结果，证明这种方法是高效-BP neural networks used in automatic license plate recognition, in brief, based on BP neural network, focused on the BP neural network method for vehic
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Face Dect ion System in matlab Using Neural networks.-Face Dectection System in matlab Using Neural networks.
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MATLAB神经网络30个案例分析__读者调用案例的时候，只要把案例中的数据换成自己需要处理的数据，即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序），包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群）、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as
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I have written some matlab implentations of some assignments in Neural Networks(by Hagan) book
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基于神经网络的手写体数字识别，它是用matlab实现的，其中用3种不同的神经的网络方法实现了手写体数字的识别，非常利于初学者的学习和交流。-Handwritten digit recognition based on neural networks, which is achieved using matlab, in which three different neural network to achieve the recognition of handwritten digits, is
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NETLAB algorithms for PR+书籍代码。学习模式识别的很好的老外书籍。基础模型很多，代码很细致，有很多算法的实现细节，对于应用很有帮助，-chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.
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在matlab上编写的关于人工神经网络中的线性神经网络的源程序例子-In matlab prepared on artificial neural networks linear neural network source code examples
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径向基神经网络来实现非线性的函数回归，详细讲解可看<<MATLAB神经网络30个案例分析>>这本书-RBF neural networks to achieve nonlinear regression function, explain in detail to see MATLAB neural network 30 case studies in this book
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