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Narxnet: time shift of predicted value with respect to real target value
1. By default, TRAIN automatically divides the data. As long as you use divideblock, I see no reason for you to explicitly decom...

10 years ago | 0

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Answered
How can I prepare input and target matrix for RBF neural network?
input = [ input1 input2 ] target = [ target1 target2 ] size(input1) = [ 8 130 ] target1 = repmat([1 0 ]',1,130) ...

10 years ago | 0

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Answered
How to train a Matlab Neural Network using matrices as inputs?
Standard procedure: Each input and output must be a column vector. If your original input is an image, just use the column op...

10 years ago | 0

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How to determine whether to remove a generated outlier or not in stepwise regression?
My approach: 1. Use zscore (you can also use mapst) to standarize all variables to zero-mean/unit-variance. 2. Us...

10 years ago | 0

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Answered
A question regarding stopping rules, local minimum vs early stopping
To see the network parameter settings, create the net without a final semicolon: >> net = fitnet % no semicolon The prop...

10 years ago | 1

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Answered
Are reasonable targetless multistep ahead predictions in a NARXNET even possible?
AS I have stated in Subject: HELP NARXNET BUGS, COMMENTS and SUGGESTIONS From: Greg Heath Date: 7 May, 2015 13:06:58...

10 years ago | 0

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Answered
I'm going to build up a narx model using two inputs with different input delays for each input. How should i put different input delays in to my network?
If you have multiple inputs and want different delays for different inputs, you have to define a CUSTOM NETWORK with parallel ...

10 years ago | 0

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Answered
How to get R squared values in NARX Neural Network?
Modify the OpenLoop " help narxnet " example: close all, clear all, clc [ X, T ] = simplenarx_dataset; neto = narxne...

10 years ago | 0

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Answered
Neural network where each input neuron has multiple dimensions and each output neuron has the same dimensions.
> Hm. Well what I'm asking is that each input neuron in the input layer takes in a vector of dimension 12. < I repeat: 1...

10 years ago | 0

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tha meaning of delay in neural net time series
net = narxnet(ID,FD,H) ID is a row vector of NONNEGATIVE, INCREASING BUT NOT NECESSARILY CONSECUTIVE, INTEGERS FD i...

10 years ago | 0

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Answered
How can I ameliorate the Neural network implementation?
# Try not to have have more unknown weights than training equations (OVERFITTING) because there is no guarantee that you will g...

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How to fix this error with Neural Network Classifier?
You need to find an algorithm for face recognition feature extraction to drastically reduce the size of the 4800-dim inputs. ...

10 years ago | 0

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After training Neural Networks What next??
No. Either the current syntax y = net(x); or the obsolete syntax y = sim(net,x); See the documentation help fi...

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how to form target vector for neural network?
If N I-dimensional vectors are to be classified into one of c exclusive classes, the target vectors should be {0,1} c-dimensiona...

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I want brief description of NARNET neural network
NO! NARNET and ELMANNET are NOT similar!! 1. Carefully compare the descriptions in BOTH the help and doc command line documen...

10 years ago | 1

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Do i have to normalize the input as well as output data while using newff function for neural network?
NEWFF will automatically normalize input and target, then use the target statistics to unnormalize the output. First run the ...

10 years ago | 0

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query about validation set
http://www.mathworks.com/matlabcentral/answers/261732-neural-network-time-series-prediction-changing-the-inital-state

10 years ago | 0

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Answered
What is the difference between NAR and closed-NAR in time series analysis (in a conceptual level)
OL NARXNET uses the known training target as an input. Obviously, it is only used for design. The CL NARXNET replaces the kno...

10 years ago | 0

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Answered
Neural Network Time Series Prediction - changing the inital state -
NEURAL NETWORK SUBSET TERMINOLOGY(comp.ai.neural-nets): data = training + validation + test design = training ...

10 years ago | 0

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Answered
I have stuck with using narnet .
net = narnet(1:.1,10); 1:0.1 is an error However, I do not think that you have enough data to do what you wish. Any fu...

10 years ago | 0

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Answered
What does "Performance" mean in NN Toolbox's training record window?
It depends on the training function. The defaults for fitnet and patternnet are mean-square-error and crossentropy, respectively...

10 years ago | 0

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Forecasting BOD values using MATLAB neural net toolbox
ALWAYS use the function WHOS to keep track of size and class for all variables. Then you would see that T and Y are not the same...

10 years ago | 0

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I built a neural network using neural network tool box. I want a function from the built network which I can use in genetic algorithm as objective function. Is there any way ? TIA
The analytic form of a default single hidden node MLP is (tansig == tanh) y = B2 + LW*tansig(B1+IW*x) % FITNET y = cross...

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Answered
validation sets vs test sets
Total = Design + Nondesign Design = Training + Validation Nondesign = Testing Total = Training + Nontraini...

10 years ago | 2

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Input and output in neural net toolbox
Please post Data.m or Data.txt [ 5 18 ]= size(input) [ 1 18 ] = size(target) MSE00 = var(target,1) % Reference MSE ...

10 years ago | 0

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Answered
How to use trained neural network time series data for forecasting?
The term "trained neural network time-series data" makes no sense. If you mean how do you use time-series data with a tra...

10 years ago | 0

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Answered
My training data is too big for regression
Randomly divide the dataset into m subsets that are small enough to train. Run all of the data thru each of the m nets. Ra...

10 years ago | 0

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Hi, i want to recognize connected characters as shown in the following image, after segmentation can i use neural networks to recognize the characters?
Yes. Search the NEWSGROUP and ANSWERS using the search terms NEURAL CHARACTER RECOGNITION HOPE THIS HELPS. GREG

10 years ago | 0

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How to define error weights in Neural Network?
The documentation commands help train doc train yield [NET,TR] = train(NET,X,T,Xi,Ai,EW) Hope this helps. ...

10 years ago | 0

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Answered
What is th difference between spread parameter in RBF and GRNN?
No difference. It is the distance from the center of a Gaussian where te value is one-alf of the peak value Hope this helps. ...

10 years ago | 0

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