BERGHOUT Tarek

University of Batna-2 Algeria

Last seen: 4 days ago | Active since 2018

Followers: 1 Following: 0

Message

I work on developing machine learning algorithms for CONDITION MONITORING of systems, PREDICTIVE MAINTENANCE, and CYBERSECURITY.

Programming Languages:
MATLAB
Spoken Languages:
English, Arabic
Pronouns:
No pronouns - Use my name only
Professional Interests:
AI for Signals and Images

Statistics

All

View badges

Feeds

Submitted

Recurrent Expansion Algorithm for Classification
These codes are designed to explain how the Multiverse Recurrent Expansion with Multiple Repeats (MV-REMR) algorithm works.

1 year ago | 3 downloads |

Submitted

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

1 year ago | 5 downloads |

Submitted

Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder

1 year ago | 2 downloads |

Submitted

Diagnosis and prognosis of aeroengines bearings Fault
Diagnosis and Prognosis of Faults in High-Speed Aeronautical Bearings with a Collaborative Selection Incremental Deep Transfer L...

1 year ago | 5 downloads |

Submitted

PrognosEase
A data generator for health deterioration prognosis

1 year ago | 2 downloads |

Submitted

Mitigation of adversarial attacks: monitoring smart grids
These codes presents a deep learning approach based robust data engineering for mitigation of adversarial attacks and wide area ...

1 year ago | 9 downloads |

Submitted

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

2 years ago | 3 downloads |

Submitted

New CMAPSS dataset (2021): Preparation & application example
MATLAB codes from data preparation to RUL prediction.

2 years ago | 9 downloads |

Submitted

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

3 years ago | 5 downloads |

Submitted

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

3 years ago | 8 downloads |

Question

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...

3 years ago | 0 answers | 0

0

answers

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 ...

3 years ago | 2 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

4 years ago | 2 downloads |

Submitted

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

4 years ago | 3 downloads |

Submitted

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

4 years ago | 7 downloads |

Submitted

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

4 years ago | 1 download |

Submitted

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

4 years ago | 3 downloads |

Submitted

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

4 years ago | 5 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

4 years ago | 1 download |

Submitted

discover our first extreme learning machine gui toolbox
the most complicated and well known variants of ELM are presented in this tool box

4 years ago | 2 downloads |

Submitted

training of sparse neural network
Training of single hidden layer feedforward network for classification and regression based on L1 norm optimization.

4 years ago | 1 download |

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...

4 years ago | 21 downloads |

Submitted

Extreme Learning Machine for classification and regression
a single hidden layer feed-forward network for regression or classification Trained based on ELM.

4 years ago | 7 downloads |

Submitted

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

4 years ago | 5 downloads |

Submitted

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

4 years ago | 2 downloads |

Submitted

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

4 years ago | 5 downloads |

Submitted

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

5 years ago | 2 downloads |

Submitted

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

5 years ago | 2 downloads |

Submitted

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

6 years ago | 2 downloads |

Answered
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

6 years ago | 0

BERGHOUT Tarek

University of Batna-2 Algeria

Statistics

File Exchange

File Exchange

File Exchange

File Exchange

MATLAB Answers

MATLAB Answers

Cody

MATLAB Answers

MATLAB Answers

Feeds

0