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NARX OPTIMUM HIDDEN NODES NUMBER
I get the same results as you. 1. However, there are some code inconsistencies including: • a. Using Ntrn = 70 with 'divi...

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Neural-Network-Performance Paradox (WITH PICTURES!)
Rnew looks good but MSEnew looks about 60 times too large. Something is wrong. MSEnew has the symptoms of overtraining an ov...

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Applying z-score before scaling to [0,1]?
It is well known (e.g., see the comp.ai.neural-nets FAQ) that the most efficient MLP nets are those which have * 1. Bipolar...

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I want to forecast for next period
2005 to 2010 is 5 years, not 3. [ I N ] = size(input)% = ? [ O N ] = size(target)% = ? Try divideblock with a (4/6)/(1/...

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how do exactly the testing and validation sequences work in neural network toolbox in Matlab?
> I have few questions concerning Neural networks especially the Neural Network Toolbox and i'd really appreciate it if you c...

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I want to forecast for next period
Since you obviously wrote NAX in error, it is not clear whether you meant NAR or NARX. Assuming NAR, 1. Start with the docu...

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Inconsistent test-results with neural network
The only time that should happen is when the 2 sets do not appear to come from the same probability distribution. You don't g...

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How can I get access to network's weights in 'adapt' function after each presentation of an input
I am assuming that your use of the term "dynamic" does not denote using time series (e.g., NARXNET); Use a loop of one epoch ...

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how can divide the sample into two part (training and test) in Narnet
close all, clear all, clc, tic % help narnet T = simplenar_dataset; sizeT = size(T) % [ 1 100 ] t ...

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I am performing neural network analysis on some data. I need to perform K-fold Cross Validation for preventing overfitting. I do not know how to go about it. Please can you help me out!
http://www.mathworks.com/matlabcentral/newsreader/view_thread/326830#898048 http://www.mathworks.com/matlabcentral/newsrea...

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How to interpret the performance graph in NN Toolbox ?
The data division indices are stored in the structure tr ... [ net tr y e ] = train(net, x, t ); Data is automatically ...

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how to find Regression Equation from artificial neural network or fuzzy tool box
Assume the input, x and target, t variables are normalized to xn and tn. Then the normalized output for the default regression n...

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can I used neural network to solve equations and get the unknows
It looks like you would have to set all of learning rates for net.b and net.IW{ i, j ~= I ) to zero.

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Monotonic Constrained NEURAL NETWORK
If the derivative of the target with respect to the input is positive, just design a good net with as few hidden nodes as possib...

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after knowing the optimum weights, how to fix these input weight and bias as constant for remaining training?
If you haven't finished training how can you possibly know that any weights are optimal? I don't know of a good reason for "...

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I need to design an appropriate Neural Network for my Data
% result = 0 0.70784 % 3 0.91287 % 6 0.93873 % 9 0.94475 % ...

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Temperature Prediction Neural Network Toolbox - Typical Wind Turbine Component Temperature Across a 50 Turbine Wind Farm
I would first assume that the combined time-series of all variables for one turbine is enough to predict it's bearing temperatur...

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I need to design an appropriate Neural Network for my Data
My code that you included works ok. But I did have several comments 1. PLOT ALL 19 COMPONENT PLOTS 2. Plot results 3. CO...

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Neural Network simulation for the output value is different from the output value obtained by using calculations, why?
Insufficent information 1. What do the 3 target values represent? 2. Your analytic calculations make no sense a. ...

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coefficient of determination in neural network model
Search NEWGROUP and ANSWERS greg fitnet R2 Hopet his helps *Thank you for formally accepting my answer* Greg

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Performance of test data Neural Network
k = 3 X=x'; Y=y'; GEH1: 3 X syntax ERROR GEH2: Preferred Notation a. Use T & t for target; Y & y for output b...

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A question about Neural Plant Model in Neural Predictive Controller demo.
Good point. That is one of my gripes. In particular, for TIMEDELAYNET and NARXNET, the default input delays should include ...

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using a trained ANN
% FITNET REUSE EXAMPLE: % Train in workspace % Save copy to directory % Clear original from workspace % Load copy from...

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how can use static feedforward neural network to predict futre observation
If you want to use the static net FITNET to predict d timesteps ahead of a single N timestep timeseries, use defaults and double...

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MATLAB gives me different value of output every time I train a neural network, why?
The default data division and weight initialization are both random. To reproduce a design you have to know the initial state...

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Feedforward net lagged prediction
Didn't I answer this in the NEWSGROUP???

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Cross validation in recurrent neural network
Contrary to some of the data division information stored in the LAYRECNET timeseries neto = layrecnet; neto = neto (...

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How do I cross-validate in recurrent neural networks?
http://www.mathworks.com/matlabcentral/answers/225901-cross-validation-in-recurrent-neural-network

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Cross validation in recurrent neural network
Validation checks are a default and should work as long as you are not trying to use TRAINBR. (TRAINBR validation is version dep...

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how can use static feedforward neural network to predict futre observation
Use one of these help nndatasets (Also see : doc nndatasets) Single time-series prediction involves predicting the next v...

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