BERGHOUT Tarek

University of Batna-2 Algeria

Last seen: 3 days ago | Active since 2018

BERGHOUT Tarek born in 1991, Batna, Algeria. PhD in industrial engineering in 2021 from Batna 2 university, Algeria. Research interests include the use of machine learning for (1) condition monitoring (primarily prognosis) and (2) cybersecurity. ResearchGate profile: https://www.researchgate.net/profile/Berghout-Tarek Hobbies: Gardening; Photography; Photoshop.

Programming Languages:
MATLAB
Spoken Languages:
Arabic, English, French
Professional Interests:
Machine Learning and Deep Learning

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Submitted

PrognosEase
A data generator for health deterioration prognosis

26 days ago | 6 downloads |

Submitted

Recurrent Expansion with Multiple Repeats (REMR)
A new representation learning algorithm for machine learning

5 months ago | 7 downloads |

Submitted

NAHL: a Neural network with an Augmented Hidden Layer
An interesting new architecture for artificial neural networks

6 months ago | 11 downloads |

Submitted

Aircraft Engines Remaining Useful Life Prediction
Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning Machine

8 months ago | 13 downloads |

Submitted

PRONOSTIA-FEMTO dataset: Preparation & application examples
This preparation is intended for those not skilled in "signal processing ".

8 months ago | 9 downloads |

Question

loading/Importing a Large ".csv" file in MATLAB ?
I want to upload a single ".csv" file with the size of 35 GB at once in MATLAB. I'am using I5 PC with 8.00 RAM memory. Please, I...

1 year ago | 0 answers | 0

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answers

Submitted

Training a deep net with OSELM
This algorithm is a basic example that will help to construct a deep belief neural network with Extreme Learning Machine rules ...

1 year ago | 8 downloads |

Submitted

Can we predict from the hidden layer of the neural network?
A new original autoencoder that allows hiding labels inside the hidden layer for later prediction has been developed

1 year ago | 2 downloads |

Submitted

Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

2 years ago | 10 downloads |

Submitted

Denoising scheme for the training a feedforward neural net
Removing noise from noisy data to enhance prediction accuracy

2 years ago | 3 downloads |

Submitted

Denoising Autoencoder
In this code a full version of denoising autoencoder is presented.

2 years ago | 25 downloads |

Submitted

Regularized Length Changeable Extreme Learning Machine
a new variants of ELM that address incremental learning and L2 norm regularization.

2 years ago | 5 downloads |

Submitted

Restricted Boltzmann Machine
contrastive divergence for training an RBM is presented in details.

2 years ago | 10 downloads |

Submitted

Convolutional neural networks CNNs based ELM
a full version of local receptive field Convolutional neural network is presented in this toolbox.

2 years ago | 13 downloads |

Submitted

extreme learning machine with Sub-nets (classify or predict)
a single hidden layers feedforword network traind using sub_networks in the hidden noeds

2 years ago | 4 downloads |

Submitted

discover our first extreme learning machine gui toolbox
the most complicated and well known variants of ELM are presented in this tool box

2 years ago | 9 downloads |

Submitted

training of sparse neural network
Training of single hidden layer feedforward network for classification and regression based on L1 norm optimization.

2 years ago | 5 downloads |

Submitted

Backpropagation for training an MLP
this code returns a fully trained MLP for regression using back propagation of the gradient. I dedicate this work to my son :"Lo...

2 years ago | 100 downloads |

Submitted

Extreme Learning Machine for classification and regression
a single hidden layer feed-forward network for regression or classification Trained based on ELM.

2 years ago | 41 downloads |

Submitted

Autoencoders (Ordinary type)
the function returns a fully trained auto-encoder based ELM

2 years ago | 14 downloads |

Submitted

A New Training Scheme for Restricted Boltzmann Machines
simple tricks to train an RBM

2 years ago | 3 downloads |

Submitted

Multi-Scale Ensemble Extreme Learning Machine for regression
A very very simple trick to enhance multilayer Neural network learning for regression

2 years ago | 8 downloads |

Submitted

RUL prediction (C-MAPSS dataset)
Dynamic Adaptation for Length Changeable Weighted Extreme Learning Machine

3 years ago | 8 downloads |

Submitted

PSO for training a regular Autoencoder.
we used particle swarm optimization (PSO) for training an Autoencoder.

3 years ago | 9 downloads |

Submitted

Basic learning rules for Rosenblatt perceptron
In these codes we introduce in details the basic learning rules of Rosenblatt perceptron.

3 years ago | 2 downloads |

Submitted

Contractive autoencoders
in these codes a set of functions created to fully train a Contractive Autoencoder.

3 years ago | 4 downloads |

Answered
How to build a not fully-connected neural network step-by-step?
you mean like this one, your question is big , i did it once; but i can give you refrences : read about ELM-LRF

3 years ago | 0

Answered
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...

3 years ago | 0

| accepted

Answered
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

3 years ago | 0

Answered
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...

3 years ago | 0

BERGHOUT Tarek

University of Batna-2 Algeria

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