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How to display weight distribution in hidden layers of neural network?
That will not work. It does not account for the correlations between inputs. The best way to rank correlated inputs is 1...

más de 8 años hace | 0

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Example from patternnet docs fails in Neural Network Toolbox Version 10.0 (R2017a)
clear all clc %stoperr %Undefined function or variable 'stoperr'. % [x,t] = iris_dataset; % net = patternnet(10...

más de 8 años hace | 0

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Example from patternnet docs fails in Neural Network Toolbox Version 10.0 (R2017a)
I get two error messages: clear all clc %stoperr %Undefined function or variable 'stoperr'. [x,t] = iris_datase...

más de 8 años hace | 0

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In a NARX, are the weights kept constant from one training process to another with different input data?
You cannot train in batches of different data. The weight updates of the last batch will supercede all previous updates. Ther...

más de 8 años hace | 0

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Neural Net Fitting App - How can I use all of my data to train (Set validation and testing data to 0% of input data)
Before using the app, change the divide function to net.divideFcn = 'dividetrain'; Hope this helps. Greg

más de 8 años hace | 0

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MATLAB nntool does not perform any iterations but directly declares Performance goal met. Why?
Why don't you believe "Performance goal is met" ? Did you run the new data through the old net to determine whether retrainin...

más de 8 años hace | 0

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How do you make predictions with a trained Neural Network (NAR)?
1. Use the autocorrelation function to find a subset of statistically significant lags to use in narnet. The default may be t...

más de 8 años hace | 1

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Feedback Delay of a Layer Recurrent Neural Network with multiple Outputs
The only feedback to the input is from the hidden layer. However, given the input, there is no way to estimate that signal. ...

más de 8 años hace | 0

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NARXNET: Validation stop
1. The ULTIMATE GOAL OF NN TRAINING is that the performance measures of BOTH a. Training data b. Non...

más de 8 años hace | 0

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How to change a transferFcn in neural network toolbox?
Eename a copy of tansig and get that to work. If so, the rest is easy. Hope this helps. Greg

más de 8 años hace | 0

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Does "train" already include train/val/test division if a feedforward neural network or should I do it manually before?
1. Use fitnet for regression and patternnet for classification. 2. Use the help and doc commands for sample code. 3. Run ...

más de 8 años hace | 0

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How to improve the performance of my neural network
You violated one of the first design rules: ALWAYS BEGIN WITH AS MANY DEFAULTS AS POSSIBLE. The rest usually follows from...

más de 8 años hace | 1

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how to define the size of feedback delays in Layer recurrent neural networks?
I DON'T KNOW. So, I would start with using the same input and feedback lags I would use for NARXNET input: Significant la...

más de 8 años hace | 0

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I wanted to know what neural network could be suitable for my project
You obviously should use patternnet for classification. However, the hard part is how to do the feature extraction. I woul...

más de 8 años hace | 0

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How to make Neural Network Ignore the background?
You don't need to remove the background. Just consider it another class. Hope this helps. *Thank you for formally acce...

más de 8 años hace | 3

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Meaning of tr.best_perf
> I'm training multiple ANN using different parameters for each (I may use > two hidden layers in one case, three on the oth...

más de 8 años hace | 0

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Creating Equation by using neural network
NNs are for nonlinear problems. Your problem is a linear one: Output is a linear combination of input powers. y = W*X so ...

más de 8 años hace | 0

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How to predict future data after training the ANN?
The first thing you need to do is throw away as many redundant inputs as possible. I'm not sure of the best way to do it. Ho...

más de 8 años hace | 0

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Initialize a Neural Network from layers but do NOT train
Since trainedNet = trainNetwork(X, Y, layers, options) trains and returns a network, trainedNet, Just use a random Y...

más de 8 años hace | 0

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How to select the target matrix for ANN based wind prediction algorithm
1. Values for a single input or target are in a ROW of the corresponding matrix. 2. Supervised NNs learn from paired input/t...

más de 8 años hace | 0

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how to pass matrix size 4x600 type double, as input neural network?
When you have each of N O-dimensional "O"utput target vectors corresponding to one of N I-dimensional "I"nput vectors, the data ...

más de 8 años hace | 0

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Problem with NARX open-loop training - Correlated with a shift - How to improve NARX training / testing
1. Openloop(OL) NAR and NARX configurations are NOT DEPLOYABLE! 2. They cannot estimate outputs when only inputs are known...

más de 8 años hace | 0

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Problem with NARX open-loop training - Correlated with a shift - How to improve NARX training / testing
1. There is not much information in your plotted data. a. There seems to be 5 points within intervals of length ...

más de 8 años hace | 0

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NARXNET: Validation stop
WHOA!! I just took a look at the 2017a TRAINBR documentation. Contrary to my previous statements: YOU CAN USE TRAINBR ...

más de 8 años hace | 0

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How do I improve the performance of a closed loop NARNET network?
Greg, 1. I used TRAINBR to improve NN generalization and avoid overfitting. (As per the documentation, but I haven't mastered...

más de 8 años hace | 1

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How to create target matrix?
Considering the lack of details in your question, I'm surprised you received any responses. It is not even clear whether this is...

más de 8 años hace | 0

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Neural Network with multiple Outputs
For N I-dimensional "I"nputs yielding N O-dimensional "O"utputs [ I N ] = size(input) [ O N ] = size(target) You have...

más de 8 años hace | 0

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NARXNET: Validation stop
Validation Stopping prevents overtraining an overfit net. Although the training error is decreasing, the ability of the net ...

más de 8 años hace | 0

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How to predict future data after training the ANN?
%Just relying on default values: x = annInput'; t = annTarget'; net = fitnet; [net tr y e ] = train(net,x,t); MSE = m...

más de 8 años hace | 0

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the mse command works fine when i use it after training. but when i load the network in a new file.the mse command gives error. kindly tell how can i find the mse for the new_input. after the network is being trained and saved.
Already answered. See my answer to your later post. Greg

más de 8 años hace | 0

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