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BERGHOUT Tarek


University of Batna-2 Algeria

Last seen: 7 days ago Active since 2018

BERGHOUT Tarek was born in Rahbat; Batna; Algeria, in 23/12/1991. He studied at the Department of Industrial Engineering; Faculty of Technology; University of Batna2; Algeria, where He received his Master degree and PhD in industrial informatics and Manufacturing in 2015 and 2021 respectively. Research interests include: (1) Condition monitoring of industrial processes (i.e. detection, diagnosis, and prognosis) using Machine learning; (2) Cybersecurity in industry using Machine Learning. Dr. BERGHOUT has numerous original publications in his field of interest, as He is also served as a reviewer for several reputable journals and conferences. Dr. BERGHOUT is working as laboratory technician at same university since 2015-until now. Hobbies: Gardening; Photography; Photoshop.

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

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Submitted


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

3 months ago | 6 downloads |

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

4 months ago | 5 downloads |

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

6 months ago | 9 downloads |

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

6 months ago | 10 downloads |

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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 | 6 downloads |

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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 | 3 downloads |

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Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

2 years ago | 7 downloads |

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

2 years ago | 1 download |

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

2 years ago | 15 downloads |

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

2 years ago | 6 downloads |

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

2 years ago | 9 downloads |

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

2 years ago | 14 downloads |

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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 |

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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 | 10 downloads |

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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 |

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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 | 51 downloads |

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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 | 34 downloads |

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

2 years ago | 17 downloads |

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

2 years ago | 2 downloads |

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

2 years ago | 7 downloads |

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

3 years ago | 9 downloads |

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

3 years ago | 7 downloads |

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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 |

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

3 years ago | 6 downloads |

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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 |

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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 |

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

3 years ago | 11 downloads |

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