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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...

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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 ...

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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...

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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 ...

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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...

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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...

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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...

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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...

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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...

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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'...

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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. ...

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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

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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...

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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...

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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...

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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 ...

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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 ...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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 ...

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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...

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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...

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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...

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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...

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