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MATLAB NN toolbox does not give the expected weights and bias amount after trained the network
Use the special cases of feedforwardnet a. fitnet for curvefitting and regression b. patternnet for clas...

mer än 5 år ago | 0

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What is Sliding Window Approach and its algorithm?What is its application in neural network?
Simplest example of a sliding window approach y( 1 ) = f( x( 1 : n ) ); y( 2 ) = f( x( n+1 : 2 * n ); y( 3 ) = f(...

mer än 5 år ago | 0

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Need help! I try to build Neural Network but it does not fit well with the training data!
>> Vp = Input * W1; Error using * >> size(Input), size(W1) ans = 158 4 ans = ...

mer än 5 år ago | 1

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Answered
What formula is used when setting net.performParam.normalization = 'standard' in combination with MSE
It is just a straightforward linear transformation. For the target, t: tn = a*t +b -1 = a*tmin + b 1 = a*tmax + b...

mer än 5 år ago | 0

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why inputs and targets have diffrent sampels?
For I-dimensional "I"nputs and O-dimensional "O"utput targets After reading in inputs and targets ALWAYS CHECK THE DIMENSION...

mer än 5 år ago | 0

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How to use a personal function to normalization data in the neural network
See the documentation >> help nnparam.normalization and >> doc nnparam.normalization Hope this helps Thank you for formally...

mer än 5 år ago | 0

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Is it normal that one neuron in the hidden layer is sufficient for a neural network with 56 inputs and one output?
If your training data is sufficient, the most stable designs occur when the training goal is satisfied wit h a minimum number of...

mer än 5 år ago | 0

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Answered
Help with creating a Newton-Raphson algorithm function
Add the line ans = ans Hope this helps. Thank you for formally accepting my answer Greg

mer än 5 år ago | 0

Question

WHY AM I UNABLE TO PASTE FROM MATLAB OR NOTEPAD INTO ANSWERS???
SHEESH !!! MATLAB VERSION 9.4.0.813654 (2018a) Greg heath@alumni.brown.edu

mer än 5 år ago | 0 answers | 0

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divide training set into validation but test on a different set in NN
I have an answer BUT FOR SOME REASON, CANNOT PASTE IT INTO THE ANSWER BOX HELP !!! heath@alumni.brown.edu

mer än 5 år ago | 0

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How to set performance weights for crossentropy in patternnet?
See both help crossentropy and doc crossentropy In the latter see the secti...

mer än 5 år ago | 0

Question

MATLAB: WHAT ARE THE CORRECT RESPONSES TO THE FOLLOWING HELP QUERIES ?
ver ------------------------------------------------------------- MATLAB Version: 9.4.0.813654 (R2018a) MATLAB License Nu...

mer än 5 år ago | 1 answer | 0

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Why the neural network creates the same output values for the different inputs?
Where is your training data? Typically, the data division is train/val/test = 70%/15%/15% Hope this helps, Greg...

mer än 5 år ago | 0

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How to verify that the ann model is correct?
Comparing outputs with targets is usually sufficient Hope this helps. *Thank you for formally accepting my answer* Gre...

mer än 5 år ago | 0

Question

WHAT MORE IS NECESSARY FOR A GOOD NEURAL NET DESIGN?
x = input; t = target; 1. [I N ] = size(x) [O N ] = size(t) 2. The default(AUTOMATIC & RANDOM...

mer än 5 år ago | 0 answers | 0

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Test trained network with different input sizes
All input vectors must have the same length as the training input column vectors. Then the output vectors will always have the ...

mer än 5 år ago | 0

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Use regularization with trainlm - negative performance
0. SEE BELOW AND POST ANY DIFFICULTIES 1. Read the documentation and try the examples help trainbr and doc trainbr...

mer än 5 år ago | 0

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Where I can found Matlab script for the prediction-of-reservoir-properties-using-Neural-Network?
If you have a list of inputs and the corresponding target for each input, see the documentation in help fitnet and do...

mer än 5 år ago | 0

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Answered
How can I get MSE and normalized MSE both as performance function when fitting Feed forward neural network?
Divide MSE by the mean variance of the target rows (MSE of the constant output model) MSEref = mean(var(target',1)) NMSE...

nästan 6 år ago | 0

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How to train a neural network, working on eeg, to deal with missing channels
You may have to create a series of increasingly sophisticated interpolation techniques. 1. Start with a baseline of zeros fo...

nästan 6 år ago | 0

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What is the sturcture of the FITNET?
FITNET is the default net for curveFITting and regression. It is the standard configuration that comes to mind whenever anyon...

nästan 6 år ago | 1

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Is it possible to use recurrent neural network for classification type problems?
It could happen; but don't count on it because there is no reason why it should be any better than without it. Greg *Thank...

nästan 6 år ago | 0

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neural network for multiple output regression matlab using trainNetwork
No. Read the documentation help trainNetwork and doc trainNetwork Hope this helps. *Thank you for formally acce...

nästan 6 år ago | 0

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How to the coding should be for a neural pattern recognition & classification of 3 input and 1 binary output?
Typically, c-class Classifiers of I-dimensional inputs are trained with input and target matrix sizes [I N ] = size(input) ...

nästan 6 år ago | 1

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If I want to make a prediction from a neural net, do I have to use the same random number generator seed?
Once a net is trained, the state of the rng is irrelevant since random numbers have no part in typical output approximations. ...

nästan 6 år ago | 0

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How to use neural networks for spatial prediction ?
Normalize each input independently of the others. However, it is always wise to first check the input variable correlation co...

nästan 6 år ago | 0

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NARX Time series prediction
Don't take Greg too seriously. Sometimes he doesn't take enough time when reading posts. Since size(A) = [ 1 2 ] A has t...

nästan 6 år ago | 1

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Minimum size Neural Network to represent a Boolean Function
In general 1. A single tanh hidden layer with a linear output layer is always a sufficient minimum MSE approximator for bound...

nästan 6 år ago | 0

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How to aviod creating a fully connected neural network in matlab?
That is why I "invented" the straightforward method of looping over number of hidden nodes. Search BOTH the NEWSGROUP and ANS...

nästan 6 år ago | 0

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trying to compare neural network with no hidden layers with logistic regression
No hidden nodes default is the same as LINEAR REGRESSION NOT LOGISTIC REGRESSION For logistic regression, you ...

nästan 6 år ago | 0