Answered

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...

3 years ago | 0

| accepted

Answered

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...

3 years ago | 0

Answered

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...

3 years ago | 0

Answered

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 ...

3 years ago | 0

Answered

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...

3 years ago | 0

Answered

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. ...

3 years ago | 0

Answered

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...

3 years ago | 1

Submitted

multilayers perceptron based Extreme Learning Machine

Training neural networks with (MLFN) multiple hidden layers with feed-forward type for regression or classification.

3 years ago | 8 downloads |

Answered

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 ...

3 years ago | 1

| accepted

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 ...

3 years ago | 0 answers | 0

Answered

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

3 years ago | 0

Submitted

Very fast Extreme Learning Machine in 5 lines

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

3 years ago | 6 downloads |

Submitted

LOW pass filter based FFT

this filter reduces hight frequencies of signal according to user desired order and cutoff frequency

3 years ago | 12 downloads |

Answered

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 .

3 years ago | 0

Answered

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...

3 years ago | 0

Answered

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

3 years ago | 0

Solved

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...

3 years ago

Solved

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...

3 years ago

Solved

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...

3 years ago

Solved

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]; ...

3 years ago

Solved

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 ...

3 years ago

Answered

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

3 years ago | 0

Answered

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

3 years ago | 0

Answered

how to use op-elm toolbox

first import you excel files into space work using import dat; the save them in the same repertory of opELM as ''filename.txt'' ...

how to use op-elm toolbox

first import you excel files into space work using import dat; the save them in the same repertory of opELM as ''filename.txt'' ...

3 years ago | 0

Answered

How to use new learning algorithm for training ANN other than predefined algorithms (like FFBP)

of course you can , this my codes for you: https://www.mathworks.com/matlabcentral/profile/authors/6602421-berghout-tarek?utf8=...

How to use new learning algorithm for training ANN other than predefined algorithms (like FFBP)

of course you can , this my codes for you: https://www.mathworks.com/matlabcentral/profile/authors/6602421-berghout-tarek?utf8=...

3 years ago | 0

Answered

Accuracy doesnot change by changing number of layers and filters.

try toscale your data between (0 and 1) even thje targets and try a gain , because i faced those problems too.

Accuracy doesnot change by changing number of layers and filters.

try toscale your data between (0 and 1) even thje targets and try a gain , because i faced those problems too.

3 years ago | 0

Answered

How do I represent an empty data in a matrix?

if that data is very important for you , i propose this solution for you: before you train your model , take only the raws tha...

How do I represent an empty data in a matrix?

if that data is very important for you , i propose this solution for you: before you train your model , take only the raws tha...

3 years ago | 0

| accepted