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Unknown Future Prediction by Using ANN
I attached this file ,use this function it is great for norlmalization, but befor you normalize your data between 0 and 1 , i me...

environ 5 ans il y a | 0

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I want to split my data using 10-cross validation and then train the model using the nntoolbox how can I do this?
try this on iy will help you : divideint

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Can we change the input size of a pretrained network for transfer learning
yes this methode is cold: 1- if you are changing the neumber of neurons from N to n where N>n: this is called :'constructive...

environ 5 ans il y a | 0

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I need to know how to add noise in stacked denoising autoencoders. The coding
you dont have to do that, chek my code her it is verry easy: https://www.mathworks.com/matlabcentral/fileexchange/71115-denoisi...

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Hello; nedd help in order to learn programmation
u can use this one here it is very simple (do not forget to leave a comment and rate the application ) Merci. https://www.mathw...

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Feature Extraction using deep autoencoder
1) you must create a data set of this windows , dataset =[window1;window2; window3 ...................]. 2) train these datase...

environ 5 ans il y a | 0

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non-linear dimension reduction via Autoencoder
1) try to normalize you data first, between 0 and 1. 2) use these autoencoders and tell me the difference https://www.mathwork...

environ 5 ans il y a | 0

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L2 regularization in sparse stacked autoencoders not clear to me
i didnt undrestand your question , could make more clear , there is no k and L2 parameters in the link . could you give us an ...

environ 5 ans il y a | 0

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How to create Autoencoder whit different input and output
autoencoders are used to this purpose the input must be equal the the target ; this is why they named as autoencoders (they enco...

environ 5 ans il y a | 0

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Retraining Deep denoising Autoencoder
you will nerver long use the speach frames in the second DAEs, -first: you will encode your input frames with the first DAs. ...

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How are the features obtained in a sparse autoencoder?
in spearse autoencoders , a set of the original images mapped to the output layer passing by the hidden layer, where the output...

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multilayers perceptron based Extreme Learning Machine
Training neural networks with (MLFN) multiple hidden layers with feed-forward type for regression or classification.

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code running for infinite while plotting my array for correlation
if you want to plot Rx , then you should plot B not C, and you can't plot B vs C in this example because C and B they dont have ...

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Question


How to generate a similar samples from certain distribution ?
I trained a neural net with some samples (images), and i want to generate a new similar samples to the original ones to see the ...

environ 5 ans il y a | 1 réponse | 0

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what is meant by sigpara and sigpara1 in code
inside the code you will find the answer; just check the authors definitions of inputs and outputs you will find it there

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Very fast Extreme Learning Machine in 5 lines
very fast version of Extreme Learning Machine is presented in this code.

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LOW pass filter based FFT
this filter reduces hight frequencies of signal according to user desired order and cutoff frequency

environ 5 ans il y a | 3 téléchargements |

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I want to predict the fire trend, help me elm version suitable for my problem
it is not about the subject it is about data, you must first look at your data , which type ,is it :'big data or small data', is...

environ 5 ans il y a | 0

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Imprecision problem: pinv(H) is not equal to pinv(H'*H)*H'
in ELM you should alwayes scale your inputs batween (-1,1) fro both versions, do that and let me know about the results

environ 5 ans il y a | 0

A résolu


convert matrix to single column
given any matrix, convert it to single column

environ 5 ans il y a

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Simple equation: Annual salary
Given an hourly wage, compute an annual salary by multiplying the wage times 40 and times 50, because salary = wage x 40 hours/w...

environ 5 ans il y a

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Most nonzero elements in row
Given the matrix a, return the index r of the row with the most nonzero elements. Assume there will always be exactly one row th...

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Swap the first and last columns
Flip the outermost columns of matrix A, so that the first column becomes the last and the last column becomes the first. All oth...

environ 5 ans il y a

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Column Removal
Remove the nth column from input matrix A and return the resulting matrix in output B. So if A = [1 2 3; 4 5 6]; ...

environ 5 ans il y a

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Is my wife right?
Regardless of input, output the string 'yes'.

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Add two numbers
Given a and b, return the sum a+b in c.

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Find the sum of all the numbers of the input vector
Find the sum of all the numbers of the input vector x. Examples: Input x = [1 2 3 5] Output y is 11 Input x ...

environ 5 ans il y a

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Anyone here solves MATLAB problems as 'part-time job' ?
contact me for any problems you want to solve

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How to reduce the number of iterations in partical swarm optimization toolbox?
yes, chane the tolerance value incrimentaly

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