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Description: 一个运用遗传算法来训练神经网络的程序-use of a genetic algorithm to train the neural network process
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Size: 8192 |
Author: 陈雷 |
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Description: 使用遗传算法训练神经网路的代码，在人工智能方面具有很大的价值-use of genetic algorithm to train the neural network code, the AI has great value
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Size: 4096 |
Author: 罗旺 |
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Description: 用matlab实现数字识别,方法为bp神经网络,该程序实现了对数字识别的训练过程.-using Matlab digital identification methods bp neural network, The realization of the digital identification of the training process.
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Size: 1024 |
Author: 李守一 |
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Description: PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。-PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect.
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Size: 2048 |
Author: lt |
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Description: 使用遗传算法来训练神经网络，编写的matlab源程序，供大家参考。-The use of genetic algorithms to train neural networks, the preparation of the matlab source code for reference.
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Size: 1024 |
Author: 张杰 |
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Description: BP人工神经网络训练源码，采用三层网络结构，固定节点数目，可以设定学习速度和学习次数。-BP artificial neural network training source, using the three-tier network architecture, a fixed number of nodes, you can set the number of learning speed and learning.
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Size: 28672 |
Author: gabriel |
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Description: 此程序包是用粒子群算法来训练神经网络参数，只要打开demoPSOnet.m运行了，会出现动态的二维图-This package is used PSO to train neural network parameters, as long as the open demoPSOnet.m run, there will be a dynamic two-dimensional map
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Size: 23552 |
Author: 梁锦兆 |
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Description: 本程序实做MLP(Multi-layer perceptron)算法，使用者可以自行设定训练数据集与测试数据集，将训练数据集加载，在2、3维下可以显示其分布状态，并分别设定键节值、学习率、迭代次数来训练其类神经网络，最后可观看辨识率与RMSE（Root Mean squared error）来判别训练是否可以停止。-This procedure is to do MLP (Multi-layer perceptron) algorithm, the user can set their own training data set and test data sets, the training data set is loaded, in the 2,3-dimensional display of their distribution, and were set key section of the value of learning rate, number of iterations to train the neural network can watch the final recognition rate and the RMSE (Root Mean squared error) to determine whether the training can stop.
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Size: 1213440 |
Author: 楊易 |
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Description: JaNet: Java Neural Network Toolkit
resume: A well documented toolkit for designing and training, and a java library for inclusion in third party programs.
description: jaNet package is a java neural network toolkit, which you can use to design, test, train and optimize an ideal Neural Network for your private application. You can then include your saved network in your program using the jaNet.backprop package. The consequent documentation is only in french for the moment, but an english translation is planned. The java source code is released under GPL, and can be compiled with JDK, Symantec Cafe or MS Visual J
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Size: 117760 |
Author: desertwing |
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Description: 本代码是基于神经网络的文字识别系统，目录主要包括：文档和两个源代
其中源代码是识别程序的，另一个是矩阵类库的。
已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-This code is based on neural network character recognition systems, the directory include: two source documents and source code generation which is to identify the procedure, and the other is the matrix class library. Has been preserved trained network weights, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture, identification. Of course, we can use training samples to train the network, but attention should be paid to training samples, otherwise it may be very low recognition rate. Training sample selection principle is that, as far as possible have representation in the training time not too long a number of cases as many as possible training samples.
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Size: 83968 |
Author: spurs |
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Description: 利用遗传算法来训练BP神经网络的权值和阈值-The use of genetic algorithm to train the BP neural network weights and thresholds
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Size: 1024 |
Author: shui |
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Description: 用MATLAB仿真的BP神经网络，采用LM算法，训练出一个比较好的训练曲线，一块发上来共享！-MATLAB simulation with BP neural networks, the use of LM algorithm, to train a better training curve, a piece of hair up to share!
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Size: 2048 |
Author: 余咏波 |
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Description: Train a two layer neural network with a recursive prediction error
％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
％
％ The activation functions can either be linear or tanh. The network
％ architecture is defined by the matrix NetDef , which has of two
％ rows. The first row specifies the hidden layer while the second
％ specifies the output layer.-Train a two layer neural network with a recursive prediction error algorithm ( recursive Gauss-Newton ). Also pruned (ie, not fully connected) networks can be trained. The activation functions can either be linear or tanh. The network architecture is defined by the matrix NetDef, which has of two rows. The first row specifies the hidden layer while the second specifies the output layer.
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Size: 3072 |
Author: 张镇 |
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Description: bp神经网络源码, NEWFF---生成一个新的前向神经网络
TRAIN-----对BP神经网络进行训练
SIM----对BP神经网络进行仿真
-bp neural network source code
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Size: 1024 |
Author: yuanru |
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Description: matlab神经网络工具箱的实用指南，第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-matlab neural network toolbox of the Practical Guide, chap neural network are the basic introduction, chapter II, including designated by the toolbox on the network structure and symbols of the basic materials, as well as neural network set up some basic functions, such as new, init, adapt and train. Chapter III in order to reverse the spread of the network as an example to explain the back-propagation networks, the basic principle and application process.
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Size: 84992 |
Author: sanjinzhi |
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Description: Matlab 下 BP 神经网络的举例及详细说明。美国大学的一个实验。 虽然是 PDF文件，但程序可以直接粘贴下来运行。-The process to train and test a designed MLP neural network :
1) We make training patterns and test patterns.
2) A network architecture should be defined by newff MATLAB function with the
number of layers, neurons and transfer functions.
3) The defined neural network architecture is trained by train MATLAB function with
input patterns and training parameters.
4) We can easily check the result by using a sim MATLAB function.
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Size: 100352 |
Author: zhulz |
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Description: This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
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Size: 1024 |
Author: Mehran Ahmadlou |
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Description: 基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP network, and then use the network to classify
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Size: 1413120 |
Author: 李琛 |
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Description: Hopfield Neural network, allows you to train a 4X4 Hopfield network.
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Size: 5120 |
Author: stryker |
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Description: source code of train function of fuzzy bp neural network
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Size: 1024 |
Author: z |
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