MATLAB: What is the MATLAB code to generate two outputs using neural networks

neural_networks

I'm modelling some data using neural network, so i need to get two outputs. How do i go about it?

Best Answer

To get N "O"utput vector dimensions of O corresponding to N "I"nput vector dimensions of I, the sizes of the input and target matrices should be

 [ I N ] = size(input)
 [O N ] = size(target)

Hope this helps.

Thank you for formally accepting my answer

Greg

Related Solutions

MATLAB: Am i getting zero neurons in output layer of pattern net

Unlike the obsolete functions newfit, newpr, newff, etc, that are created from x and t, the current functions fitnet, patternet, feedforwardnet etc, are NOT created with input nodes, output nodes, input weights, layer weights or output biases; ONLY hidden nodes and input biases. The rest are assigned only after x and t are introduced via the functions configure or train. The command init(net) is ineffective at this stage. For example, paste into the command line WITHOUT THE ENDING SEMICOLON

clear all, clc
net          = patternnet
Nw           = net.numWeightElements
biases       = net.biases
b            = net.b
inputWeights = net.inputWeights
IW           = net.IW
layerweights = net.layerweights
LW           = net.LW

Now repeat the last 7 commands after

1. init(net);

and

2. Either
     net = configure(net, x, t)

     [net tr y e ] = train(net, x, t)

Obviously, syntax was changed to accommodate future changes in the NNToolbx. You will have to ask the MATLAB staff for details.

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Continuous outputs on Neural Networks

You have to have the same number of I dimensional "i"nput vectors and O dimensional "o"utput target vectors

 { I N ] = size(x)
 [ O N ] = size(t)

Hope this helps

Thank you for formally accepting my answer

Greg

Best Answer

Related Solutions

MATLAB: Am i getting zero neurons in output layer of pattern net

MATLAB: Continuous outputs on Neural Networks

Related Question