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Incorrect Neural Network output calculation through weights! Help!
You did not take into account the default mapminmax normalization of inputs and outputs. Hope this helps. *Thank you for f...

8 years ago | 0

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Why do I always get 100% accuracy in my confusion matrix when i use NN pattern recognition app?
[ 3 36 ] = size(x) [ 3 26 ] = size(t) Ntrneq ~ 0.6*3*26 = 46.8 ~ 47 Hub = (Ntrneq-O)/(I+O+1)47-3 = (47-3)/(3...

8 years ago | 0

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prune hidden neurons in neural network
Search NEWSREADER and ANSWERS using Ntrials Hmin Hmax for an easier approach to find the smallest successful number of...

8 years ago | 1

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How create a time-delay RBF neural network???
If you are new at NNs, I recommend first trying to use what MATLAB has to offer. That, in itself, can be an exasperating experie...

8 years ago | 0

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How to use a sequenceInputLayer with a regressionLayer (neural networks) ?
The regression layer is the only one that has no explicit indication of size. Hope this helps. Greg

8 years ago | 0

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how to train and test own dataset in neural network?
There are three documentation sources of code help fitnet doc fitnet type fitnet There are hundreds of examples i...

8 years ago | 0

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How do i correct the error when i return the argument "tr" for the training record?
1. Write in to an internet site that uses information to help solve your problem. 2. Provide as little information as possibl...

8 years ago | 0

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Want to optimize Genetic algorithm ( GA ) goal with three different objectives of final response variables (Y1 maximize, Y2 minimized)
Use the solutions for 1. max(Y1) 2. min(Y2) to determine a and the starting point (X10,X20,X30) for 3. max( ...

8 years ago | 0

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hello! when creating (NARX) in a neural network toolbox, Can someone explain to me the role of the input delays and feedback delays, maybe you can give an example, when input are set at 1:2 and at 1:5... Thank You!
When the output at time t is linearly correlated with past inputs and outputs, NARXNET can be used for modelling and prediction....

8 years ago | 0

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Question about neural network pattern recognition
For the default architecture use the commands help patternnet and/or doc patternnet and run the sample codes with...

8 years ago | 0

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what is the difference between the neural network FITTING app and the neural network time series app?
With timeseries, the output depends, EXPLICITLY, in part, or in whole, on past values of input and/or output. With regression...

8 years ago | 0

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Question about inputs and targer in the fitting tool for the neural matrix
For classification of N I-dimensional inputs into c classes, use matrices with dimensions [ I N ] = size(input) [ c N ] ...

8 years ago | 0

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Normalization source for neural network during application (not training)
A basic assumption is that the design (training and validation) data adequately characterize the summary stationary statistics (...

8 years ago | 1

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Very confusted about the number of input neurons in my network.
[ I N ] = size(input) % [ 50 300 ] [ O N ] = size(target) % [ 3 300 ] target columns are columns of eye(3) Take a...

8 years ago | 1

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Answered
I'm trying to create a neural network in Matlab. I'm very new to Matlab though and I cant seem to understand where Im going wrong
When starting a problem, use the shortest code possible. Search using GREG QUICKIES. RUN A FEW MATLAB EXAMPLE DATASETS TO MAKE S...

8 years ago | 0

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Trial-and-error or K-fold cross-validation
If you search in both the NEWSGROUP and ANSWERS you will see zillions of examples of my two loop solution: %Outer loop over n...

8 years ago | 0

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divideFcn & Validation Checks for Layer recurrent neural network
Why LAYRECNET instead of the BETTER and EASIER NARXNET ??? The best way to get a successful result is to begin with as small...

8 years ago | 0

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I want to predict cumulative overflow with NARX neural network, but it is not easy to me.
This seems like a standard regression problem. So, instead of "help Greg" 1. try help fitnet and doc fitnet ...

8 years ago | 0

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Answered
This is a bad attempt with MATLAB's most recent tool 'classificationLearner'.
If you have to use MATLAB to solve a classification problem, FIRST: Use the doc and help commands to see how to use patternne...

8 years ago | 0

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How to sort table entries into cell array for neural network. --SOLVED/CLOSED--
1. You say you have 1 timestamp column and 2 other columns. HOWEVER a. later you mention columns 2:4 b. The VARIABLES ...

8 years ago | 0

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Image Labeler ROI Selection
Somewhere in between. Exactly how much is determined by trial and error. Hope this helps. Greg

8 years ago | 0

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MLP classification: what is the problem in my code?
GEH1: The best network function for classification is PATTERNNET GEH2: Your targets should be 0,1 UNIT vectors. GEH3: The ...

8 years ago | 0

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MLP classification: what is the problem in my code?
There are too many basic concepts of which you are unaware. Unfortunately, I only have time to list some of them. 1. One hidd...

8 years ago | 0

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What is the MATLAB code to generate two outputs using neural networks
That is correct. What don't you understand? Greg

8 years ago | 0

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Neural Network for 2 classes as input and 2 output
1. You made a transcription error. Your code erroneously shows [ 2 2 2] whereas the figure is consistent with [ 2 10 2] 2. Y...

8 years ago | 0

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With what parameters we can identify whether the neural network is properly trained or not
Use NMSE, the normalized-mean-square-error, related to the Rsquare (See Wikipedia) statistic: 0 <= NMSE = 1-Rsquare...

8 years ago | 0

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Reconstruct shifted values after training a dynamic neural network ?
They are not lost. It takes multiple input values to yield 1 output value. Therefore you cannot have as many output time ...

8 years ago | 0

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How can I know the elements of a confusion matrix?
Start with the documentation help confusion doc confusion Then search the NEWSGROUP & ANSWERS ...

8 years ago | 0

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Training Neural Network on Large Datasets
YOU ARE IN LUCK!!! 1. Randomly divide each of the c classes into s subsets. 2. Randomly combine one subset from each class...

8 years ago | 1

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How are the number of neurons in the output layers chosen?
[ I N ] = size(input) [ O N ] = size(target) I-H-O = size of a single layer NN You (lucky dog) have the extreme plea...

8 years ago | 0