Answered
How can i implement a back-propagation time series prediction using NARX in ANN?
For an I-H-O (input-hidden-output) net [ I N ] = size(input) [ O N ] = size(target) *Thank you for formally accepting m...

12 years ago | 0

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Answered
How does a neural network assign outputs - is there an intrinsic threshold value?
In general, the assigned class is the one associated with the largest output. Outputs do NOT have to have any of the followi...

12 years ago | 0

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Answered
Non-linear curvefitting in MATLAB
The solution is trivial because you have a linear system of equations for the 3 coefficients A*c = b; c = A\b Hope t...

12 years ago | 0

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Early stopping method in neural networks, digits recognition
What does monitoring weights after each iteration have to do with early stopping?. The only way to monitor weights every epoc...

12 years ago | 0

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How to correctly use adapt with recurrent neural network training?
close all, clear all, clc, plt=0 tic [X,T] = simplenarx_dataset; net = narxnet(1:2,1:2,10) adaptFcn = ...

12 years ago | 2

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Answered
How to get validation and Test data of Neural network in MATLAB
The input matrix contains train, val and test data. Similarly for the output data. Indices are available in the training rec...

12 years ago | 0

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How can i implement a back-propagation time series prediction using NARX in ANN?
1. Read the help/doc timedelaynnet, narnet and narxnet documentation 2. Duplicate and investigate the examples. 3. Decide ...

12 years ago | 0

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NARX model training in the Neural Network Tool Box
See the examples in help preparets help closeloop Also see if the doc explanations and examples are different. Hope...

12 years ago | 0

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early stopping neural network:: why data divided in two three subset???
Data = Design + Non-design Design = Train(estimate weights) + Validation(Stop training when MSEval goes thru a minimum). N...

12 years ago | 0

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Answered
what is Create trainable cascade-forward backpropagation network (NEWCF)?
>> help newcf newcf Create a cascade-forward backpropagation network. Obsoleted in R2010b NNET 7.0. Last used in R201...

12 years ago | 0

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Answered
Early stopping method in neural networks, digits recognition
1. Walter is correct. What the error message is trying to say is that t must have the same number of columns as p. Therefore, p ...

12 years ago | 1

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Answered
Neural network inputs and Outputs with different time delay
Incorrect. The number and values of ID and FD are independent. Simple example: close all, clear all, clc, plt=0 [X,T...

12 years ago | 1

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Answered
How to correctly use adapt with recurrent neural network training?
1. Solve the problem using train help narxnet help closeloop 2. Make sure you initialize the RNG so that you can re...

12 years ago | 0

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NARX model training in the Neural Network Tool Box
Narnet and narxnet have two modes: OPENLOOP and CLOSELOOP. The training of these and most of the MATLAB NNs is stopped via te...

12 years ago | 0

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Answered
how to create NARX nn from my data
If you plot the data, you will see three distinct regions with different statistics. ind1 ~ 1:10000; ind2 ~ 10001:20000; ...

12 years ago | 0

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Answered
How to create Neural Network classifier for pattern Recognition ?
How many classes/categories? c = ? What is the dimensionality of your input vectors? I= ? How many input/target examples d...

12 years ago | 1

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Answered
Can anybody help me to sort out this error?
Use the default number of hidden nodes. Post any error messages.

12 years ago | 0

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About number of weights and hidden layer in neural network MATLAB 2012b
Most of what I post is home grown from my 30 years of experience with neural nets. I have posted in comp.ai.neural-nets as well ...

12 years ago | 0

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Answered
error in printed character recognition using neural network
load y; load x11; % size(y), size(x11) ? InData = y'; TarData = (0.01*x11'); % If this is a pattern recognizer, w...

12 years ago | 0

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Answered
Train Recgnition Neural Network on image moements
Mapminmax is a default. What did you get for performance? You may have converged to a local min. Repeat 9 more times w...

12 years ago | 1

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Answered
How can I predict future values of currency prices, in a neural network time series trained with daily data, predicting 30 days into the future from the last day's data.
1. Practice on one or more of the MATLAB timeseries datasets that are the most similar to yours. help nndatasets 2. Use a...

12 years ago | 0

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Answered
incorrect image classification using NN
Test the program offline on non-training images before testing it online. I suspect you have over-trained an over-fit net so...

12 years ago | 0

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Answered
how to load 3-phase voltage and current waveform data generated from simulink to workspace so as to use the data for training the neural network for detecting and classification of fault in a long transmission line
1. Extract I features from each of N examples and form the IxN dimensional input matrix. 2. For each example, assign a column...

12 years ago | 0

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Answered
how to define target matrix for rbf neural classifier
target = [ ones(1,10) zeros(1,10)] MSE00 = mean(var(target',1)) MSEgoal = MSE00/100 Standardize inputs (ZSCORE or MAPST...

12 years ago | 0

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can I get a sample matlab code for neural network with backpropagation ?
doc fitnet help fitnet

12 years ago | 0

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Problem about taking optimum performance of neural network output for pattern classification
Didn't I answer these questions already?

12 years ago | 0

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Neural network backpropagation algorithm
Regression and classification Neural Nets are based on matching I-dimensional input vectors with corresponding O-dimensional out...

12 years ago | 0

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Answered
hello how can i use neural network to model my rainfall data?
NN regressors/curve-fitters are based on N examples of pairs of I-dimensional input data vectors and the corresponding O-dimensi...

12 years ago | 1

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Answered
Wy does sim function give such bad results after making a neural network timeserie?
1. Remove all unnecessary specification of defaults. If you don't know which are defaults, type your net = narxnet command witho...

12 years ago | 0

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Answered
Training set and target set and output in Matlab neural network
Since not-present, present and heavily-present are interpreted as having an increasing order, you can represent them as ordered ...

12 years ago | 0

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