搜索资源列表
rbfn
- 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
MLPNetworksimulation.rar
- 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 th
MATLABandB
- Matlab中BP神经网络的构建和初始化训练前馈网络的第一步是建立网络对象。函数newff建立一个可训练的前馈网络。这需要4个输入参数。第一个参数是一个Rx2的矩阵以定义R个输入向量的最小值和最大值。第二个参数是一个颟顸每层神经元个数的数组。第三个参数是包含每层用到的转移函数名称的细胞数组。最后一个参数是用到的训练函数的名称。 -matlab bp
MY_newff
- matlab训练神经网络的源代码程序，用于神经网络的学习-matlab neural network training process the source code for the neural network learning
BPNN4_2
- load training.txt load TrainOut.txt load validation.txt load ValOut.txt load testing.txt load TestOut.txt INPUT=[training validation testing] OUTPUT=[TrainOut ValOut TestOut] net=newff(INPUT,OUTPUT,200,{ tansig , purelin }, trainlm )
shenjingwangluo
- T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1
newff
- feed forward back propagation neural network-feed forward back propagation neural network
ann_newff
- this code is matlab and use newff to create ann.
face-recognitionamatlab-program
- 人脸识别，基于神经网络，代码很精练。 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 - The NEWFF- Generate a new feedforward neural network TRAIN- BP neural network training, the SIM- BP Neural Network Simulation
gm11
- function exp85 clear all p=[0:0.1:1.1] t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095] net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm ) net.trainParam.epochs=2500 net.trai
newff-with-several-methods
- feed forward neural network trained using several methods,then efficiency of each method represented at the end
Newff
- 实现神经网络预测，对于学习英文BP是很好入门例子。-Realization of neural network prediction, learning English is a good example of the entry BP. Realization of neural network prediction, learning English is a good example of the entry BP.
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
BP
- MATLAB 实现的BP神经网络，没有使用newff函数，自行编写的程序，还有多种改进算法。-MATLAB BP neural network, there is no use newff function, its own written procedures, there are many kinds of improved algorithm.
神经网络代码
- 识别印刷体26个大写英文字母的训练网络（任意五个字母），用newff或feedforwardnet构建(A training network (any five letters) that identifies 26 letters of English letters in a printed form, constructed with newff or feedforwardnet)
newff
- bp神经网络模型训练，简单的三层二级网络(bp train bp modelbp train bp modelbpbp train bp model train bp modelbp train bp modelbp train bp modelbp train bp model)