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Multilayer neural network with newff
If you are new with NNs stick with the defaults as much as possible. Input-Hidden-Output is sufficient for a universal approxima...

etwa 10 Jahre vor | 0

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how to improve netc performance for prediciting ?
"I"nput dimension is I=3 and "O"utput dimension is O=8. However, WHAT IS N ??, the length of the total time span? If Ntrn ~ 0.7...

etwa 10 Jahre vor | 0

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Using weights from OL in CL training; how should the weight vector(s)/cell matrices be formatted when used as input in train() ?
% Using weights from OL in CL training; how should the % weight vector(s)/cell matrices be formatted when used % as input in...

etwa 10 Jahre vor | 0

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NARX network for multi step prediction, possible to use "extrapolation time vectors"?
It is good to conjecture. However, there are calculations that will put more meat on the bone: 1. Transform all variables to ...

etwa 10 Jahre vor | 0

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It is not possible to predict wavelengths longer than the maximum index value of the FD in NARXNET and NARNET. Or…???
AHA!!! You have just discovered the other side of the time/frequency conspiracy. From most of my time-series tutorials and...

etwa 10 Jahre vor | 1

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i am new to neural network .i am doing project on identifying secure and insecure state in power system using ANN
1. You do not have anywhere near as much data (N) that is necessary to provide the number of training equations (Ntrneq) to accu...

etwa 10 Jahre vor | 0

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How to perform cross-validation of a RBFN created using newrb?
> let's say I have a network created using newrb using a particular training data set. I have checked it on validation data set ...

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My Question About Neural Net
I'm not a fan of first learning with nn or ntstool. I suggest the commandline approach as posted in the HELP and DOC documentati...

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Training a NarX net with multiple datasets
Typically, training with a sequence of multiple datasets tends to cause the net to forget the salient characteristics of former ...

etwa 10 Jahre vor | 2

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Neural network input/output problem, signal estimation
Neural Nets are not appropriate for that type of task. See help fft doc fft Hope this helps. *Thank you for formally...

etwa 10 Jahre vor | 3

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How can I create a neural network for data classification using the Neural Network Toolbox?
Documentation: help patternnet doc patternnet Examples: greg patternnet Hope this helps. Greg

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how to create input and target for this feature vector to train a neural network
If you have N I-dimensional input column vectors that need to be classified into 1 of c independent classes, the N target vector...

etwa 10 Jahre vor | 0

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How to calculate the NN outputs manually?
By default, 1. The hidden node transfer function is TANSIG (TANH) 2. The output node transfer function is PURELIN (LINEAR...

etwa 10 Jahre vor | 2

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Image Classifier to Generate a Similarity Percentage
With the sparcity of info given, I can only give the following nebulous answer 1. I assume you have a method of preprocessing...

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How to train a network having x no of inputs and y no of outputs using hidden layers as well such that it can be later tested for unknown values as well ? Using matlab apps(neural net fitting ) ??
CHANGE IN NOTATION: % "I"nput matrix x [ I N ] = size(x) % "O"utput "t"arget matrix [ O N ] = size(t) % Network...

etwa 10 Jahre vor | 0

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How to insert 2D-matrix to a backpropagation neural network?
N I-dimensional "I"nput column vectors [I N ] = size(input) N O-dimensional "O"utput target vectors [O N ] = size(ta...

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how do i optimize weights of neural network using GA in MATLAB(need codes to achieve that), again how do i call this function that optimzes the neural network weights in GA GUI so i can work with it from the interface
I have posted a new MIMO GA code in the NEWSGROUP. http://www.mathworks.com/matlabcentral/newsreader/view_thread/344888#9446...

etwa 10 Jahre vor | 1

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Neural Network - Multi Step Ahead Prediction
1. The final OL NARNET model should have 3 dimensional inputs and outputs. 2. The final CL NARNET model will have 3 outputs w...

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How to train and simulate a Newff or nntool
How to train and simulate a Newff or nntool Asked by Mariana about 12 hours ago Hi, I have been stuck with this problem, ...

etwa 10 Jahre vor | 0

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How to conduct a sensitivity analysis in neural network model with Nominal Data
Your net is probably so dumb that it doesn't know the inputs are supposed to be nominal (I assume you mean 1s and 0s). So, pl...

etwa 10 Jahre vor | 1

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How to create target matrix for ANN?
The target matrix for a c-class classifier should contain {0,1} unit vector columns from the unit matrix eye(c). The functions I...

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Using mapminmax simulink tool in my neural network
In the MATLAB NN ToolBox, ROWS are variables and COLUMNS are data vectors. MINMAX finds the extrema of rows X = [1 2 4; 1...

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different graphs when Analyzing Neural Network Performance After Training
Initialize the RNG sometime after the net is created but before it is assigned initial weights and random datadivision indices...

etwa 10 Jahre vor | 1

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How to build neural network for the below data using nntool in matlab?What are the training parameters to be given?
1. Convert the 7-dimensional inputs to columns with numbers 2. Pair N inputs with N output targets to obtain [ I N ] = si...

etwa 10 Jahre vor | 0

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Can any one help me about how to create training and testing sets regarding features in neural network
The data consists of N pairs of I-dimensional "i"nputs and corresponding O-dimensional "o"utput targets. The size of the data ma...

etwa 10 Jahre vor | 0

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How to assign my defined training set, validation set and test set for training a Neural net in NeuralNetwork toolbox and not relying on GUI functionalities ?
Whenever you use a data subset to create a function that will be used on similar, but different data, using that function on tra...

etwa 10 Jahre vor | 0

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Why do I get the error message 'Inner matrix dimensions must agree. ' ?
For N I-dimensional inputs paired with N O-dimensional target outputs [ I N ] = size(input) [ O N ] = size(target) ...

etwa 10 Jahre vor | 0

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How to assign my defined training set, validation set and test set for training a Neural net in NeuralNetwork toolbox and not relying on GUI functionalities ?
I have devised an easy way to minimize the number of hidden nodes and layers (to prevent over-fitting) subject to additional con...

etwa 10 Jahre vor | 0

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Interpretation of Trained neural network result
The train, val and test set performances WITHIN each class is similar. Therefore, when class results are combined, the train, va...

etwa 10 Jahre vor | 0

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Relating input and output while some conditions are known
First try the latter. Then try to understand what happens when you omit inputs. In fact you might get a better feel for the...

etwa 10 Jahre vor | 0

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