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How to improve accuracy for unseen data
Although previous results are not encouraging, I'm curious what a biased MLP design would yield. BIAS: All of the data is us...

etwa 12 Jahre vor | 3

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How to improve accuracy for unseen data
%A quick way to see if any of the variables or classes appear to be different from the others is to standardize the inputs to ...

etwa 12 Jahre vor | 3

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MATLAB neural network classification different results
Remember that the state of the RNG changes every time it is called. Now, 1. Net creation is different for the obsolete funct...

etwa 12 Jahre vor | 2

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How do Size input and Target correctly during training of Feed Forward Neural Network
Transpose your matrices so that [ I N ] = size(input) %[ 12 108 ] [ O N ] = size(target) %[ 1 108 ] Then search ...

etwa 12 Jahre vor | 2

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How to improve accuracy for unseen data
Revelations from New Data: clear all, close all, clc tic load P1.txt whos % P1 61x350 170800 double in...

etwa 12 Jahre vor | 3

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How to testing a normalized trained fitnet ?
All of the info is contained in the net structure. Just type, without a semicolon net = net Hope this helps. *Thank yo...

etwa 12 Jahre vor | 3

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Optimization of dimensions of hidden layer in neural network
There is no a priori way to optimize the number of hidden neurons for 1 hidden layer, much less 3. However, you can get a good e...

etwa 12 Jahre vor | 2

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The neural network stops before it starts? (minimum gradient reached ) error
The best way to design a neural net is to first find the simplest architecture that yields a good solution. My advice is to s...

etwa 12 Jahre vor | 2

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Does the neural network predictive controller support multiple inputs?
I don't know the answer. However, MATLAB is a matrix/vector based language. Therefore it is hard for me to believe that if it ma...

etwa 12 Jahre vor | 1

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how can i provide one input vector to some neurons in the hidden layer and another input vector to some other neurons of the same hidden layer in matlab
WHOOPS!. At one time when weights were initialized at EXACTLY zero, they would not be updated. Now I don't recall if was MATLAB'...

etwa 12 Jahre vor | 2

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No change in test performance by changing Learning Rate
Why should the answer be different? Changing the learning rate should just change the number of epochs it takes to converge. ...

etwa 12 Jahre vor | 0

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how to test a large data set(excelsheet) on a neural network?and how to save a trained network to test it in future with new data?
load savednet newoutput = savednet(newinput); *Thank you for formally accepting my answer* Greg

etwa 12 Jahre vor | 1

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this following back propagation algorithm is giving error
newff has been obsolete since 2010. The minmax(input) version you are using is doubly obsolete. What version of MATLAB and N...

etwa 12 Jahre vor | 0

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MATLAB neural network classification different results
When making multiple designs in a loop, use rng to initialize the random number generator BEFORE the loop. If the training funct...

etwa 12 Jahre vor | 3

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how can i provide one input vector to some neurons in the hidden layer and another input vector to some other neurons of the same hidden layer in matlab
After creating a 10-input net, set the appropriate weights of net.IW to zero; You will have to work out the details but the gene...

etwa 12 Jahre vor | 3

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How to improve accuracy for unseen data
0. please excuse no caps. originally had problems and now too lazy to change... 1. do the 60-dim inputs represent extracted ...

etwa 12 Jahre vor | 3

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Hi, can anybody help with some guidance on neural network for classification ?
In general [ I N ] = size(input) % I = 32 [ O N ] = size(target) % O = 36 where the columns of target are columns of ...

etwa 12 Jahre vor | 2

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Is it possible to manually select cases from an array for training a neural network?
No. The net must process the inputs together (batch or sequential). Otherwise the net will forget the characteristics of previou...

etwa 12 Jahre vor | 2

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how to enter can tell the networks the first ten images is for first car and the other ten images for seconde cars??.
target = [ repmat( [1;0],1,10) repmat( [0;1],1,10) ]; classindex = vec2ind(target) target = ind2vec(classindex) Hope th...

etwa 12 Jahre vor | 0

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high oscillation in neural network prediction results
You may have too many hidden layer units. Try reducing them or using regularization with the training function TRAINBR Hop...

etwa 12 Jahre vor | 2

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Neural Network Regression Plot for Non-linear Multivariate Regression
The plots are 1st output dimension vs 1st target dimension for all, trn, val and tst. Hope this helps *Thank you for forma...

etwa 12 Jahre vor | 1

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Neural Network k fold cross validation
1. Yes, the net needs to be reconfigured at the top of the for loop. 2. There is no contingency for obtaining a poor design d...

etwa 12 Jahre vor | 1

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understanding the newff and train functions
NEWFF has been obsolete for 4 years. The current function to use for regression/curve-fitting is FITNET. You only have 11 poi...

etwa 12 Jahre vor | 2

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How to improve accuracy for unseen data
The dramatic difference between your training and nontraining performance is a classic example of OVERTRAINING an OVERFIT net wh...

etwa 12 Jahre vor | 4

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Wired problem about NARX prediction
In general, 0<= ID <= idmax and 1<= FD <= fdmax. For prediction, 1<= ID <= idmax and 1 <= FD <= fdmax. In other words, fo...

etwa 12 Jahre vor | 1

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how to create data set which use in neural network?
Not enough info. What is the subject of the images? Is your problem regression or classification? If regression what ...

etwa 12 Jahre vor | 1

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How i can to choose a good structure of neural networks( number of nodes in hidden layer)
[ I N ] = size(input) % [7 1200] [ O N ] = size(target) % [ 7 1200 ] Ntrn = N -2*(0.15*N) % 840 Ntrneq = Nt...

etwa 12 Jahre vor | 1

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This work in MATLAB :p=rand(2,4);but when i change to :p=rand(3,4) this happen:Input data size does not match net.inputs{1}.size.
(2,4) indicates four 2-dimensional examples whereas (3,4) indicates four 3-dimensional examples Why does the result confu...

etwa 12 Jahre vor | 1

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i want to enter the images into neural network from my database....how to do that
I'm not sure what your problem is. You can search the NEWSGROUP and ANSWERS for many classification examples. The current...

etwa 12 Jahre vor | 1

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backpropagation neural network using patternnet take non-Binary training set
For a c-class classifier, use patternnet with binary targets consisting of columns of the c-dimensional unit matrix eye(c). I...

etwa 12 Jahre vor | 1

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