matlab newrbe,用MATLAB的newrb()函数建立的神经网络，怎么查看网络参数？

运行一次网络，在comand的命令中打入你的网络名词，

如果是默认的就打 net

你可以看到很多东西，这个就是我的网络的参数

net

net =

Neural Network

name: 'NAR Neural Network'

efficiency: .cacheDelayedInputs, .flattenTime,

.memoryReduction

userdata: (your custom info)

dimensions:

numInputs: 1

numLayers: 2

numOutputs: 1

numInputDelays: 2

numLayerDelays: 0

numFeedbackDelays: 0

numWeightElements: 496

sampleTime: 1

connections:

biasConnect: [1; 1]

inputConnect: [1; 0]

layerConnect: [0 0; 1 0]

outputConnect: [0 1]

subobjects:

inputs: {1x1 cell array of 1 input}

layers: {2x1 cell array of 2 layers}

outputs: {1x2 cell array of 1 output}

biases: {2x1 cell array of 2 biases}

inputWeights: {2x1 cell array of 1 weight}

layerWeights: {2x2 cell array of 1 weight}

functions:

adaptFcn: 'adaptwb'

adaptParam: (none)

derivFcn: 'defaultderiv'

divideFcn: 'divideint'

divideParam: .trainRatio, .valRatio, .testRatio

divideMode: 'time'

initFcn: 'initlay'

performFcn: 'mse'

performParam: .regularization, .normalization, .squaredWeighting

plotFcns: {'plotperform', plottrainstate, ploterrhist,

plotregression, plotresponse, ploterrcorr}

plotParams: {1x6 cell array of 6 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: {2x1 cell} containing 1 input weight matrix

LW: {2x2 cell} containing 1 layer weight matrix

b: {2x1 cell} containing 2 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,inputStates] = net(inputs,inputStates)

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