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BERGHOUT Tarek


University of Batna-2 Algeria

Last seen: Today 2018 以来アクティブ

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's 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

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

11日 前 | ダウンロード 16 件 |

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

3ヶ月 前 | ダウンロード 11 件 |

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

3ヶ月 前 | ダウンロード 20 件 |

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質問


loading/Importing a Large ".csv" file in MATLAB ?
I want to upload a single ".csv" file with the size of 35 GB at once in MATLAB. I'am using I5 PC with 8.00 RAM memory. Please, I...

8ヶ月 前 | 0 件の回答 | 0

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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 ...

11ヶ月 前 | ダウンロード 8 件 |

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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

約1年 前 | ダウンロード 4 件 |

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Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

1年以上 前 | ダウンロード 6 件 |

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

2年弱 前 | ダウンロード 1 件 |

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

2年弱 前 | ダウンロード 26 件 |

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

2年弱 前 | ダウンロード 4 件 |

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

約2年 前 | ダウンロード 12 件 |

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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.

約2年 前 | ダウンロード 10 件 |

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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

約2年 前 | ダウンロード 3 件 |

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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

約2年 前 | ダウンロード 13 件 |

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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.

約2年 前 | ダウンロード 4 件 |

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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...

約2年 前 | ダウンロード 75 件 |

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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.

約2年 前 | ダウンロード 40 件 |

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

約2年 前 | ダウンロード 16 件 |

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

約2年 前 | ダウンロード 4 件 |

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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

約2年 前 | ダウンロード 8 件 |

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

2年以上 前 | ダウンロード 9 件 |

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

3年弱 前 | ダウンロード 13 件 |

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

約3年 前 | ダウンロード 3 件 |

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

約3年 前 | ダウンロード 5 件 |

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回答済み
How to build a not fully-connected neural network step-by-step?
you mean like this one, your question is big , i did it once; but i can give you refrences : read about ELM-LRF

約3年 前 | 0

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Unknown Future Prediction by Using ANN
I attached this file ,use this function it is great for norlmalization, but befor you normalize your data between 0 and 1 , i me...

約3年 前 | 0

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Can we change the input size of a pretrained network for transfer learning
yes this methode is cold: 1- if you are changing the neumber of neurons from N to n where N>n: this is called :'constructive...

約3年 前 | 0

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I need to know how to add noise in stacked denoising autoencoders. The coding
you dont have to do that, chek my code her it is verry easy: https://www.mathworks.com/matlabcentral/fileexchange/71115-denoisi...

約3年 前 | 0

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Hello; nedd help in order to learn programmation
u can use this one here it is very simple (do not forget to leave a comment and rate the application ) Merci. https://www.mathw...

約3年 前 | 0

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