Community Profile

photo

BERGHOUT Tarek


University of Batna-2 Algeria

Last seen: 6 days ago Active since 2018

Tarek Berghout received his M.Sc. and Ph.D. degrees in Industrial Informatics and Manufacturing from University of Batna 2, Algeria in 2015 and 2021, respectively. Dr. Berghout research interests include condition monitoring of industrial processes and cybersecurity while using machine learning tools.. ResearchGate profile: https://www.researchgate.net/profile/Berghout-Tarek Hobbies: Gardening; Photography; Photoshop.

Programming Languages:
MATLAB
Spoken Languages:
Arabic, English, French
Professional Interests:
AI for Signals and Images

Statistics

All
  • Personal Best Downloads Level 5
  • 5-Star Galaxy Level 5
  • First Review
  • First Submission
  • 3 Month Streak
  • Knowledgeable Level 2
  • Solver
  • Revival Level 3
  • First Answer

View badges

Content Feed

View by

Submitted


PrognosEase
A data generator for health deterioration prognosis

2 months ago | 2 downloads |

Thumbnail

Submitted


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

2 months ago | 8 downloads |

Thumbnail

Submitted


New CMAPSS dataset (2021): Preparation & application example
MATLAB codes from data preparation to RUL prediction.

3 months ago | 13 downloads |

Thumbnail

Submitted


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

8 months ago | 2 downloads |

Thumbnail

Submitted


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

12 months ago | 8 downloads |

Thumbnail

Submitted


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

12 months ago | 6 downloads |

Thumbnail

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 | 3 downloads |

Thumbnail

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

2 years ago | 1 download |

Thumbnail

Submitted


Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

2 years ago | 6 downloads |

Thumbnail

Submitted


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

2 years ago | 2 downloads |

Thumbnail

Submitted


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

2 years ago | 25 downloads |

Thumbnail

Submitted


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

2 years ago | 3 downloads |

Thumbnail

Submitted


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

3 years ago | 8 downloads |

Thumbnail

Submitted


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

3 years ago | 5 downloads |

Thumbnail

Submitted


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

3 years ago | 2 downloads |

Thumbnail

Submitted


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

3 years ago | 3 downloads |

Thumbnail

Submitted


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

3 years ago | 2 downloads |

Thumbnail

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...

3 years ago | 58 downloads |

Thumbnail

Submitted


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

3 years ago | 30 downloads |

Thumbnail

Submitted


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

3 years ago | 20 downloads |

Thumbnail

Submitted


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

3 years ago | 1 download |

Thumbnail

Submitted


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

3 years ago | 4 downloads |

Thumbnail

Submitted


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

3 years ago | 12 downloads |

Thumbnail

Submitted


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

3 years ago | 9 downloads |

Thumbnail

Submitted


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

3 years ago | 1 download |

Thumbnail

Submitted


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

4 years ago | 4 downloads |

Thumbnail

Submitted


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

4 years ago | 13 downloads |

Thumbnail

Submitted


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

4 years ago | 3 downloads |

Thumbnail

Submitted


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

4 years ago | 7 downloads |

Thumbnail