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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...
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...
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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
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...
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...
presque 7 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...
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...
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...
Feature Extraction using deep autoencoder
1) you must create a data set of this windows , dataset =[window1;window2; window3 ...................]. 2) train these datase...
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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...
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...
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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 ...
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 ...
presque 7 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...
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...
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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. ...
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...
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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A soumis
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 ...
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 ...
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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
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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A soumis
Very fast Extreme Learning Machine in 5 lines
very fast version of Extreme Learning Machine is presented in this code.
presque 7 ans il y a | 1 téléchargement |
A soumis
LOW pass filter based FFT
this filter reduces hight frequencies of signal according to user desired order and cutoff frequency
presque 7 ans il y a | 2 téléchargements |
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i have downloaded the elm code from net, i am getting error "elm_train" require more input arguements to run. in elm_train(X,Y, number_neurons), attached the the screenshot for the same. kindly help me through this.
thanks for using my code , you must excute the main program in file example.m , and not function .
i have downloaded the elm code from net, i am getting error "elm_train" require more input arguements to run. in elm_train(X,Y, number_neurons), attached the the screenshot for the same. kindly help me through this.
thanks for using my code , you must excute the main program in file example.m , and not function .
presque 7 ans il y a | 0
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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...
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...
presque 7 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
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
presque 7 ans il y a | 0
A résolu
convert matrix to single column
given any matrix, convert it to single column
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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...
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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...
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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]; ...
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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 ...
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Anyone here solves MATLAB problems as 'part-time job' ?
contact me for any problems you want to solve
Anyone here solves MATLAB problems as 'part-time job' ?
contact me for any problems you want to solve
presque 7 ans il y a | 0
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How to reduce the number of iterations in partical swarm optimization toolbox?
yes, chane the tolerance value incrimentaly
How to reduce the number of iterations in partical swarm optimization toolbox?
yes, chane the tolerance value incrimentaly
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