搜索资源列表
BP
- 用bp神经网络对sin(x)拟合,隐含层采用sigmoid函数，输出层采用线性函数,
nn
- 线性神经网络，BP神经网络，Hopfield神经网格，Elman神经网络，RBF神经网络；在模型应用模块中实现了六种实际应用：RBF网络的船用柴油机故障诊断，BP网络的齿轮箱故障诊断，SOM网络的回热系统故障诊断，BP网络的设备状态分类器，SOM网络的人口比例样本分类，SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural
matlab_NeuralNetwork
- matlab实现 感应器神经网络、线性网络、BP神经网络、径向基函数网络-matlab neural network implementation of sensors, linear network, BP neural networks, Radial Basis Function Network
ex3
- 基于BP神经网络识别字符. BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
my022
- BP算法在非线性分类问题中的简单应用，三层BP网络！-BP algorithm in non-linear classification problem in a simple application of three-layer BP network!
annexamples
- 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.
bp_v1_2
- -----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 (
hang_ji_shi_bie
- 航迹识别，用到改进的近邻搜索算放，双线性插值，BP预测等方法-Track identification, use the search operator to improve the neighbor put, bilinear interpolation, BP prediction method
BP
- BP神经网络训练程序，可以用来做各种计算，如线性拟合-BP neural network training procedures can be used for various calculations, such as linear regression, etc.
IrisClassification
- Iris数据集的分类程序，包括线性分类器实验，BP网络分类器实验，以及异或数据的BP网络分类实验，外带试验报告-Iris data set of classification procedures, including linear classification experiment, BP network classifier experiments, and different BP networks or data classification experiment, take-test
采用BP网络逼近线性对象
- 采用BP网络逼近线性对象，进行matlab仿真。-use BP
FIR-filter-BP-MATLAB
- 基于神经网络的 一维线性滤波器 分为I到VI型 等波纹数字滤波器 用matlab实现 -One dimensional wave digital filter based on neural network using MATLAB implementation
bp-example
- 利用两层BP神经网络训练加权系数。隐含层的激活函数取S型传输函数，输出层的激活函数取线性传输函数-Weighting factor of two layers of BP neural network training. The hidden layer activation function to take the S-shaped transfer function, the output layer activation function to take a linear transfer
BP
- BP神经网络训练以及检验，得到结果与设定值的误差，训练数据越多结果会越好。PS:为了获得更好的效果，请先用PCA或线性回归等方法对学习数据进行预处理。-BP neural network training and testing, the results obtained with the set value of the error, the more training data results will be better. PS: In order to obtain better res
hopfield---bp--matlab
- 基于神经网络的系统辨识，适用于在线辨识,离线辨识 以及用Hopfield网络的线性系统辨识。里面有具体的实例-System identification based on neural network for online identification
BP-neural-network-MATLAB-code
- 主要是BP神经网络的MATLAB实现程序代码，包括感应器神经网络、线性网络、BP神经网络、径向基函数网络。-Mainly MATLAB BP neural network to achieve the program code, including sensors neural networks, linear network, BP neural network, radial basis function networks
BP-NN-realization-categorizes
- BP网络实现分类问题；一，问题的提出；根据感知器的的相关理论易知感知器善于解决线性可分；反向传播网络（Back-PropagationN；一个具有r个输入和一个隐含层的神经网络模-The BP network realization categorizes a problem A, the problem puts forward Knows a machine according to the feeling of of the related theory easy to underst
BP
- 人工神经网络用来建立非直线性模型，用生物的角度来诠释变量之间的关系-Artificial neural network is used to establish a non-linear model, biological perspectives to explain the relationship between variables
BP-algorithm
- 基于和积算法的LDPC码译码算法，采用的是7/4线性分组码，但是这里程序是灵活的，可以替换为任意形式的LDPC码。还有一个书面的报告，详细的解释了译码过程和和积算法原理，希望对大家有帮助-Based on the algorithm and integrated algorithm of LDPC codes decoding, by using linear block code is 7/4, but this program is flexible, can be replaced by
PSO-BP
- 粒子群算法优化BP神经网络，在传统PSO算法的基础上增加了惯性权重，并且线性递减策略改变。(Particle Swarm Optimization (BP) algorithm optimizes BP neural network, and inertia weights are added based on traditional PSO algorithm, and linear decreasing strategy changes)