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BERGHOUT Tarek


University of Batna-2 Algeria

Last seen: 1일 전 2018년부터 활동

BERGHOUT Tarek born in 1991, Batna, Algeria. PhD in industrial engineering in 2021 from Batna 2 university, Algeria. Research interests include the use of machine learning for (1) condition monitoring (primarily prognosis) and (2) cybersecurity. ResearchGate profile: https://www.researchgate.net/profile/Berghout-Tarek Hobbies: Gardening; Photography; Photoshop.

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

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제출됨


PrognosEase
A data generator for health deterioration prognosis

약 1달 전 | 다운로드 수: 6 |

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

5달 전 | 다운로드 수: 7 |

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제출됨


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

6달 전 | 다운로드 수: 12 |

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

8달 전 | 다운로드 수: 11 |

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

8달 전 | 다운로드 수: 6 |

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질문


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...

약 1년 전 | 답변 수: 0 | 0

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답변

제출됨


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 ...

1년 이상 전 | 다운로드 수: 8 |

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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

1년 이상 전 | 다운로드 수: 2 |

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제출됨


Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

약 2년 전 | 다운로드 수: 7 |

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

약 2년 전 | 다운로드 수: 1 |

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

2년 이상 전 | 다운로드 수: 24 |

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

2년 이상 전 | 다운로드 수: 5 |

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

2년 이상 전 | 다운로드 수: 12 |

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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.

2년 이상 전 | 다운로드 수: 12 |

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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

2년 이상 전 | 다운로드 수: 4 |

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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

2년 이상 전 | 다운로드 수: 6 |

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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.

2년 이상 전 | 다운로드 수: 5 |

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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...

2년 이상 전 | 다운로드 수: 97 |

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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.

2년 이상 전 | 다운로드 수: 38 |

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

2년 이상 전 | 다운로드 수: 16 |

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

2년 이상 전 | 다운로드 수: 3 |

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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

2년 이상 전 | 다운로드 수: 8 |

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

3년 이하 전 | 다운로드 수: 8 |

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

3년 이상 전 | 다운로드 수: 9 |

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

3년 이상 전 | 다운로드 수: 2 |

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

3년 이상 전 | 다운로드 수: 4 |

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답변 있음
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

3년 이상 전 | 0

답변 있음
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...

3년 이상 전 | 0

| 수락됨

답변 있음
I want to split my data using 10-cross validation and then train the model using the nntoolbox how can I do this?
try this on iy will help you : divideint

3년 이상 전 | 0

답변 있음
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...

3년 이상 전 | 0

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