问题遇到的现象和发生背景
xtrain_guiyi为输入矩阵 8108 ，y_train为目标矩阵1108
问题相关代码，请勿粘贴截图
net = newff(xtrain_guiyi,y_train,12,{'tansig','logsig'},'trainlm')
运行结果及报错内容
net =
Neural Network
name: 'Custom Neural Network'
userdata: (your custom info)
dimensions:
numInputs: 1
numLayers: 3
numOutputs: 1
numInputDelays: 0
numLayerDelays: 0
numFeedbackDelays: 0
numWeightElements: 193
sampleTime: 1
connections:
biasConnect: [1; 1; 1]
inputConnect: [1; 0; 0]
layerConnect: [0 0 0; 1 0 0; 0 1 0]
outputConnect: [0 0 1]
subobjects:
input: Equivalent to inputs{1}
output: Equivalent to outputs{3}
inputs: {1x1 cell array of 1 input}
layers: {3x1 cell array of 3 layers}
outputs: {1x3 cell array of 1 output}
biases: {3x1 cell array of 3 biases}
inputWeights: {3x1 cell array of 1 weight}
layerWeights: {3x3 cell array of 2 weights}
functions:
adaptFcn: 'adaptwb'
adaptParam: (none)
derivFcn: 'defaultderiv'
divideFcn: 'dividerand'
divideParam: .trainRatio, .valRatio, .testRatio
divideMode: 'sample'
initFcn: 'initlay'
performFcn: 'mse'
performParam: .regularization, .normalization
plotFcns: {'plotperform', 'plottrainstate',
'plotregression'}
plotParams: {1x3 cell array of 3 params}
trainFcn: 'trainlm'
trainParam: .showWindow, .showCommandLine, .show, .epochs,
.time, .goal, .min_grad, .max_fail, .mu, .mu_dec,
.mu_inc, .mu_max
weight and bias values:
IW: {3x1 cell} containing 1 input weight matrix
LW: {3x3 cell} containing 2 layer weight matrices
b: {3x1 cell} containing 3 bias vectors
methods:
adapt: Learn while in continuous use
configure: Configure inputs & outputs
gensim: Generate Simulink model
init: Initialize weights & biases
perform: Calculate performance
sim: Evaluate network outputs given inputs
train: Train network with examples
view: View diagram
unconfigure: Unconfigure inputs & outputs
evaluate: outputs = net(inputs)
我的解答思路和尝试过的方法
我想要达到的结果
我这个代码写法是对的吗？ 那个12是指隐含层神经元的个数吗？
这个输出结果我看不懂。
