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BERGHOUT Tarek


University of batna-2 Algeria

Last seen: 5 days 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


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

17 days ago | 8 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 ...

2 months ago | 16 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

6 months ago | 2 downloads |

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Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

11 months ago | 16 downloads |

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

1 year ago | 3 downloads |

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

1 year ago | 32 downloads |

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

1 year ago | 7 downloads |

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

1 year ago | 16 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.

1 year ago | 18 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

1 year ago | 6 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

1 year ago | 12 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.

1 year ago | 3 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...

1 year ago | 102 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.

1 year ago | 73 downloads |

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

1 year ago | 30 downloads |

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

1 year ago | 1 download |

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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

1 year ago | 8 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

1 year ago | 11 downloads |

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

2 years ago | 17 downloads |

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

2 years ago | 16 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.

2 years ago | 1 download |

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

2 years ago | 7 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.

2 years ago | 21 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.

2 years ago | 17 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

2 years ago | 17 downloads |

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