BERGHOUT Tarek

University of batna-2 Algeria

Last seen: 1 day ago | Active since 2018

Tarek BERGHOUT was born in 1991 in RAHBAT-Algeria, he studied in BATNA university (Algeria), he received his Master degree in industrial Informatics and manufacturing in 2015 . Also, he received his PhD in the same option from the same university in 2021.
Currently his ongoing research focuses in condition monitoring of complex industrial systems using Machine Learning tools.
Interests : Neural networks; Deep learning; Least squares methods.
Hobbies: Gardening; Photography; Photoshop.

Programming Languages:
MATLAB
Spoken Languages:
Arabic, English, French

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Submitted

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

2 months ago | 9 downloads |

Submitted

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

2 months ago | 10 downloads |

Submitted

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

5 months ago | 7 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 ...

10 months ago | 15 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 | 6 downloads |

Submitted

Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

1 year ago | 16 downloads |

Submitted

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

1 year ago | 3 downloads |

Submitted

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

1 year ago | 21 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 | 9 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 | 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

2 years ago | 14 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 | 6 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 | 98 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 | 39 downloads |

Submitted

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

2 years ago | 31 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

2 years ago | 10 downloads |

Submitted

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

3 years ago | 7 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 | 1 download |

Submitted

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

3 years ago | 6 downloads |

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 | 14 downloads |