BERGHOUT Tarek
University of Batna-2 Algeria
Followers: 0 Following: 0
I work on developing machine learning algorithms for CONDITION MONITORING of systems, PREDICTIVE MAINTENANCE, and CYBERSECURITY.
MATLAB
Spoken Languages:
English, Arabic
Pronouns:
No pronouns - Use my name only
Professional Interests:
AI for Signals and Images
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Inviato
Recurrent Expansion Algorithm for Classification
These codes are designed to explain how the Multiverse Recurrent Expansion with Multiple Repeats (MV-REMR) algorithm works.
4 mesi fa | 4 download |
Inviato
PSO for training a regular Autoencoder.
we used particle swarm optimization (PSO) for training an Autoencoder.
6 mesi fa | 4 download |
Inviato
Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder
6 mesi fa | 11 download |
Inviato
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...
7 mesi fa | 4 download |
Inviato
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 ...
11 mesi fa | 16 download |
Inviato
NAHL: a Neural network with an Augmented Hidden Layer
An interesting new architecture for artificial neural networks
oltre un anno fa | 6 download |
Inviato
New CMAPSS dataset (2021): Preparation & application example
MATLAB codes from data preparation to RUL prediction.
oltre un anno fa | 15 download |
Inviato
Aircraft Engines Remaining Useful Life Prediction
Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning Machine
circa 2 anni fa | 6 download |
Inviato
PRONOSTIA-FEMTO dataset: Preparation & application examples
This preparation is intended for those not skilled in "signal processing ".
circa 2 anni fa | 8 download |
Inviato
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 ...
oltre 2 anni fa | 5 download |
Inviato
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
circa 3 anni fa | 1 download |
Inviato
Denoising scheme for the training a feedforward neural net
Removing noise from noisy data to enhance prediction accuracy
oltre 3 anni fa | 4 download |
Inviato
Denoising Autoencoder
In this code a full version of denoising autoencoder is presented.
oltre 3 anni fa | 25 download |
Inviato
Regularized Length Changeable Extreme Learning Machine
a new variants of ELM that address incremental learning and L2 norm regularization.
oltre 3 anni fa | 3 download |
Inviato
Restricted Boltzmann Machine
contrastive divergence for training an RBM is presented in details.
quasi 4 anni fa | 9 download |
Inviato
Convolutional neural networks CNNs based ELM
a full version of local receptive field Convolutional neural network is presented in this toolbox.
quasi 4 anni fa | 7 download |
Inviato
extreme learning machine with Sub-nets (classify or predict)
a single hidden layers feedforword network traind using sub_networks in the hidden noeds
quasi 4 anni fa | 3 download |
Inviato
discover our first extreme learning machine gui toolbox
the most complicated and well known variants of ELM are presented in this tool box
quasi 4 anni fa | 2 download |
Inviato
training of sparse neural network
Training of single hidden layer feedforward network for classification and regression based on L1 norm optimization.
quasi 4 anni fa | 5 download |
Inviato
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...
quasi 4 anni fa | 87 download |
Inviato
Extreme Learning Machine for classification and regression
a single hidden layer feed-forward network for regression or classification Trained based on ELM.
quasi 4 anni fa | 33 download |
Inviato
Autoencoders (Ordinary type)
the function returns a fully trained auto-encoder based ELM
quasi 4 anni fa | 13 download |
Inviato
A New Training Scheme for Restricted Boltzmann Machines
simple tricks to train an RBM
quasi 4 anni fa | 1 download |
Inviato
Multi-Scale Ensemble Extreme Learning Machine for regression
A very very simple trick to enhance multilayer Neural network learning for regression
quasi 4 anni fa | 8 download |
Inviato
RUL prediction (C-MAPSS dataset)
Dynamic Adaptation for Length Changeable Weighted Extreme Learning Machine
oltre 4 anni fa | 9 download |
Inviato
Basic learning rules for Rosenblatt perceptron
In these codes we introduce in details the basic learning rules of Rosenblatt perceptron.
quasi 5 anni fa | 1 download |
Inviato
Contractive autoencoders
in these codes a set of functions created to fully train a Contractive Autoencoder.
circa 5 anni fa | 5 download |
Inviato
multilayers perceptron based Extreme Learning Machine
Training neural networks with (MLFN) multiple hidden layers with feed-forward type for regression or classification.
circa 5 anni fa | 8 download |
Inviato
Very fast Extreme Learning Machine in 5 lines
very fast version of Extreme Learning Machine is presented in this code.
circa 5 anni fa | 2 download |