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Description: 不调用MATLAB本身的神经网络工具箱实现两层神经网络-creat a simple two layers ANN without using the ANN toolbox of MATLAB
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Size: 16384 |
Author: 刘文 |
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Description: 很多神经网络的应用程序：如感知器，自适应线性元件，BP网络，霍普菲尔德网络，竞争网络...适合初学者。-Many neural network applications: such as sensor, adaptive linear element, BP network, Hopfield networks, competitive networks ... suitable for beginners.
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Size: 81920 |
Author: 李正伟 |
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Description: 粒子群算法PSO优化BP神经网络的MATLAB代码 -PSO Particle Swarm Optimization of BP Neural Network MATLAB code
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Size: 2048 |
Author: WUYAN |
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Description: 1.BP神经网络进行模式识别
2.用BP网络对非线性系统进行辨识
3.一个神经网络PID控制器
4.图像处理的PCA算法
5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image processing 5. The exhaustive algorithm for image processing,
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Size: 5120 |
Author: hudingyin |
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Description: 采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies
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Size: 105472 |
Author: caoliang |
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Description: 该程序包包含三个函数，一个用于建立BP神经网络，一个用于训练该网络，最后一个用于测试样本。-The package contains three functions, one for the establishment of BP neural networks, one for training the network, the last one for the test samples.
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Size: 3072 |
Author: culbert |
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Description: 人工神经网络，利用matlab工具箱算法-Artificial neural network using matlab toolbox algorithm
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Size: 1024 |
Author: liuct |
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Description:
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Size: 84992 |
Author: yg |
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Description: design and implementation of feedforward neural network with BP training algorithm.(include the GUI)
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Size: 564224 |
Author: maisam |
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Description: -----引入动量的算法
建立一个3层（含输入层）的BP神经网络，并对其进行训练
输入层不进行数据处理，隐含层激活函数为sigmod函数，输出层为线性函数
输入输出数据归一化到[-1,1]，数据在矩阵中按行向量表示
即x=[x11,x12 x21,x22 ... xp1,xp2] y=[y1 y2 ... yp] p为样本数 -The introduction of the algorithm ----- momentum to build a three-layer (including input layer) of the BP neural network, and its training of the input layer does not carry out data processing, the hidden layer activation function sigmod function, the output layer-line Sexual Function input and output data normalized to [-1,1], the data in the matrix row-vector representation or x = [x11, x12 x21, x22 ... xp1, xp2] y = [y1 y2 ... yp] p as the number of samples
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Size: 4096 |
Author: 沈龙 |
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Description: 基于遗传算法的bp神经网络对基因芯片数据进行分类，能进行准确的分类，能运行。很实用-bp svm matlab
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Size: 1024 |
Author: liuyujie |
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Description: BP neural network implementation with generalized delta learning rule and momentum-BP neural network in Matlab
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Size: 1024 |
Author: lin |
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Description: 训练BP神经网络连接权值的源代码,还可以得到BP的层数和节点数-Training of BP neural network connection weights of the source code, you can also get BP and the number of layers of nodes
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Size: 5120 |
Author: huang |
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Description: 不用到matlab工具箱，进行神经网络控制器设计，采用BP方法-Do not have to matlab toolbox, the neural network controller design, using BP method
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Size: 1024 |
Author: 海朝 |
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Description: 这是一个基于matlab的三层神经网络算法，赋予不同的向量可对权值进行训练-This is a three-layer neural network matlab-based algorithm can give different weight vector for training
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Size: 1024 |
Author: wyy |
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Description: BP神经网络用于分类与回归的matlab源码
注释很详细-1、NeuralNetwork_BP_Classification.m- 分类
2、NeuralNetwork_BP_Regression.m- 回归
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Size: 3072 |
Author: zm |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
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Size: 422912 |
Author: 刘文珍 |
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Description: 上午上课在稿纸上画了半天，整理下思路，下午动手写的，所有模块已大概成型，本着照顾后学者，以及资源共享的原则，贴上核心的bp算法部分，已经封装好了，使用可以直接调用。三层，基本三层就可以解决我们的这些简单的问题，输入为8×8，输出4，隐层数目conts num=8 还可进一步封装，const输入层节点，输出层节点。-Morning class in the writing paper drew a long time, under the idea of finishing the afternoon hands-on writing, and all modules have been roughly in shape, in line with care, academics, and the principle of resource sharing, the core of the bp algorithm is part of the paste has a good package, and the use of can be directly invoked. Three, the basic three layers can be resolved by these simple questions to our input for the 8 × 8, the output 4, the number of hidden layers conts num = 8 can be further packaged, const input layer nodes, output layer nodes.
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Size: 2048 |
Author: 杨元龙 |
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Description: 要建立一个有效的支持向量回归(SVR)模型，支持向量回归的3个参数c，y，占丛须预先设定。提出一种新型的遗传算
法一智能遗传算法(IGA)对支持向量回归进行参数调节，以达到寻找最优参数的目的，然后和支持向量回归结合得到一种新的
IGASVR模型，并应用于城市人口预测。最后，将提出的方法与标准SVR模型和BP神经网络模型进行比较，所得结果表明，该模
型训练速度快，并且有较高预测精度，是一种有效的人口预测方法。-To build an effective SVR model，SVR’8 parameters must be set carefully．This study proposes a novel approach，
known ag IGASVR。which searches for SVR’s optimal parameters using intelligent genetic algorithms，and then adopts the optimal
parameters to construct the SVR models．Finally we apply IGASVR tO forecast population．The experimental results demonstrates
that IGASVR are better than standard SVR and BP neural-network．IGASVR model is an effective approach which has faster
speed of training and higher precision．
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Size: 372736 |
Author: 11 |
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Description: a self-adaptive learning a lgorithm for BP network
BP神经网络最优化算法-a self-adaptive learning a lgorithm for BP network BP neural network optimization algorithms
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Size: 174080 |
Author: touquezheng |
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