BERGHOUT Tarek

University of Batna-2 Algeria

Last seen: 12 dagen ago | Active since 2018

Followers: 0 Following: 0

Message

I work on developing machine learning algorithms for CONDITION MONITORING of systems, PREDICTIVE MAINTENANCE, and CYBERSECURITY.

Programming Languages:
MATLAB
Spoken Languages:
English, Arabic
Pronouns:
No pronouns - Use my name only
Professional Interests:
AI for Signals and Images

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Submitted

Recurrent Expansion Algorithm for Classification
These codes are designed to explain how the Multiverse Recurrent Expansion with Multiple Repeats (MV-REMR) algorithm works.

4 maanden ago | 4 downloads |

Submitted

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

6 maanden ago | 4 downloads |

Submitted

Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

6 maanden ago | 11 downloads |

Submitted

Diagnosis and prognosis of aeroengines bearings Fault
Diagnosis and Prognosis of Faults in High-Speed Aeronautical Bearings with a Collaborative Selection Incremental Deep Transfer L...

7 maanden ago | 4 downloads |

Submitted

PrognosEase
A data generator for health deterioration prognosis

9 maanden ago | 2 downloads |

Submitted

Mitigation of adversarial attacks: monitoring smart grids
These codes presents a deep learning approach based robust data engineering for mitigation of adversarial attacks and wide area ...

11 maanden ago | 16 downloads |

Submitted

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

meer dan een jaar ago | 6 downloads |

Submitted

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

meer dan een jaar ago | 15 downloads |

Submitted

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

ongeveer 2 jaar ago | 6 downloads |

Submitted

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

ongeveer 2 jaar ago | 8 downloads |

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 ...

meer dan 2 jaar ago | 5 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

ongeveer 3 jaar ago | 1 download |

Submitted

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

meer dan 3 jaar ago | 4 downloads |

Submitted

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

meer dan 3 jaar ago | 25 downloads |

Submitted

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

meer dan 3 jaar ago | 3 downloads |

Submitted

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

bijna 4 jaar ago | 9 downloads |

Submitted

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

bijna 4 jaar ago | 7 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

bijna 4 jaar ago | 3 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

bijna 4 jaar ago | 2 downloads |

Submitted

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

bijna 4 jaar 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...

bijna 4 jaar ago | 87 downloads |

Submitted

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

bijna 4 jaar ago | 33 downloads |

Submitted

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

bijna 4 jaar ago | 13 downloads |

Submitted

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

bijna 4 jaar ago | 1 download |

Submitted

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

bijna 4 jaar ago | 8 downloads |

Submitted

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

meer dan 4 jaar ago | 9 downloads |

Submitted

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

bijna 5 jaar ago | 1 download |

Submitted

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

ongeveer 5 jaar ago | 5 downloads |

Submitted

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

ongeveer 5 jaar ago | 8 downloads |