搜索资源列表
ann_m
- 转载:对神经网络中使用最广泛的一种:BP神经网络采用vbmatlab来实现,把训练数据拷入,load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into
bpann
- 基于神经网络算法,构建了一个三层的bp网络,用来识别5,6,7,8,9五个数字,在matlab环境下运行成功,对于了解神经网络控制算法很有帮助,并附有训练和测试数据
newff
- BP神经网络代码,只能作为训练函数用,经过测试可以使用,能对10*13矩阵使用-New function for neural network can simulate 10*13 matrics
BPtrain
- 比较简单明了的一个基于matlab的BP神经网络训练和测试的例程,可用于例程学习神经网络的训练与测试-A relatively simple matlab-based BP neural network training and testing routines, routines can be used to study neural network training and testing
BPneutralNetwork
- bp神经网络分两类.首先在savedata.m里将两类数据分别标记为1和2,然后在nncw.m里将load数据训练,最后在test里load新数据测试。-bp neural network divided into two categories. First, there will be two types of data in savedata.m are labeled 1 and 2, and then load the data in nncw.m in the training, th
BPNN_Java
- 神经网络,BP算法,对iris数据进行训练和测试。本程序采用Java语言编写,学习正确率达98 。-iris data analysis,java programming,bp algorithm
sjwl
- 识别手写体0-9的数字,里面有一定的训练样本和测试样本,采用bp神经网络-0-9 handwritten identification number, which has some of the training and testing samples, the use of neural network bp
BP-network
- 利用matlab实现bp人工神经网络算法,根据训练集合训练模型,测试集合进行模型的测试-Using matlab bp artificial neural network algorithm, according to the training set training model, test collection model test
ccdrekgx
- LCMV优化设计阵列处理信号,本科毕设要求参见标准测试模型,在matlab R2009b调试通过,包含特征值与特征向量的提取、训练样本以及最后的识别,BP神经网络用于函数拟合与模式识别。- LCMV optimization design array signal processing, Undergraduate complete set requirements refer to the standard test models, In matlab R2009b debugging thr
BPtrain
- BP神经网络实现测试数据预测(将训练集与测试集数据进行归一化 建立BP神经网络,并训练;利用训练好的BP神经网络对测试集中的23个样本的抗压强度进行预测;输出结果并绘图)-BP neural network to predict the test data (the training set and test data set is normalized the BP neural network and training use of the trained BP neural netwo
krdxkyqc
- pwm整流器的建模仿真,BP神经网络用于函数拟合与模式识别,相参脉冲串复调制信号,本科毕设要求参见标准测试模型,通过反复训练模板能有较高的识别率,复化三点Gauss-lengend公式求pi,MIMO OFDM matlab仿真,鲁棒性好,性能优越。- Modeling and simulation pwm rectifier BP neural network function fitting and pattern recognition, Complex modulation cohere
tznpwfqc
- 通过反复训练模板能有较高的识别率,BP神经网络用于函数拟合与模式识别,采用加权网络中节点强度和权重都是幂率分布的模型,gmcalab 快速广义的形态分量分析,本科毕设要求参见标准测试模型,用MATLAB实现的压缩传感。- Through repeated training UqxYzxdlate have higher recognition rate, BP neural network function fitting and pattern recognition, Using weigh
Two-Variate-Function
- 使用BP神经网络实现二元函数的逼近问题,包含训练样本,无测试集-Using BP neural network to achieve the approximation of the two function function, including the training samples, no test set
junfeng_v36
- 计算多重分形非趋势波动分析,本科毕设要求参见标准测试模型,BP神经网络的整个训练过程。- Calculate the multifractal trend fluctuation analysis, Undergraduate complete set requirements refer to the standard test models, The entire training process BP neural network.
BP
- C#人工神经网络编程,实现神经网络的训练,测试和泛化-C# artificial neural network programming, neural network training, testing and generalization
fangtao
- 数据包传送源码程序,本科毕设要求参见标准测试模型,BP神经网络的整个训练过程。- Data packet transfer source program, Undergraduate complete set requirements refer to the standard test models, The entire training process BP neural network.
BPshouxieshuzishibie
- 基于BP神经网络的手写数字识别,总共有三个程序,分别是建立样本,进行训练,最后是检验测试-Based on the BP neural network handwritten numeral recognition, a total of three procedures, namely, the establishment of samples, training, and finally test
Class_3_Code
- 将concrete_data.mat文件导入到MATLAB中,其中attributes为影响混凝土抗压强度的7个输入变量,strength为混凝土的抗压强度,即输出变量; 将整个数据集中的103个样本随机划分为训练集与测试集,其中训练集包含80个样本,测试集包含23个样本; 将训练集与测试集数据进行归一化; 建立BP神经网络,并训练; 利用训练好的BP神经网络对测试集中的23个样本的抗压强度进行预测; 输出结果并绘图(真实值与预测值对比图)(The concrete_data.mat
MNIST数据集
- 手写数字识别数据集的训练集和测试集,关于BP神经网络(Handwritten digit recognition data set)
MATLAB手写数字汉字识别[写字板,神经网络]
- 该课题为基于MATLAB bp神经网络的手写汉字识别系统。可以利用鼠标手写中文汉字进行训练,测试,可以识别任何字体,只需要到GUI界面面板更换即可。在GUI界面就可以随写随训练中文,不需要到后台手动更换文字训练,方便快捷上档次。(This project is a handwritten Chinese character recognition system based on Matlab bp neural network. You can use the mouse to write Ch