BERGHOUT Tarek
University of Batna-2 Algeria
MATLAB
Spoken Languages:
English, Arabic
Pronouns:
No pronouns - Use my name only
Professional Interests:
AI for Signals and Images
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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 | 3 downloads |
Submitted
Sparse Autoencoder
These codes returns a fully traned Sparse Autoencoder
1 year ago | 7 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...
2 years ago | 2 downloads |
Submitted
PrognosEase
A data generator for health deterioration prognosis
2 years ago | 1 download |
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 ...
2 years ago | 14 downloads |
Submitted
NAHL: a Neural network with an Augmented Hidden Layer
An interesting new architecture for artificial neural networks
2 years ago | 4 downloads |
Submitted
New CMAPSS dataset (2021): Preparation & application example
MATLAB codes from data preparation to RUL prediction.
2 years ago | 8 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 | 6 downloads |
Submitted
PRONOSTIA-FEMTO dataset: Preparation & application examples
This preparation is intended for those not skilled in "signal processing ".
3 years ago | 11 downloads |
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 ...
4 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
5 years ago | 1 download |
Submitted
Denoising Autoencoder
In this code a full version of denoising autoencoder is presented.
5 years ago | 12 downloads |
Submitted
Regularized Length Changeable Extreme Learning Machine
a new variants of ELM that address incremental learning and L2 norm regularization.
5 years ago | 3 downloads |
Submitted
Restricted Boltzmann Machine
contrastive divergence for training an RBM is presented in details.
5 years ago | 4 downloads |
Submitted
Convolutional neural networks CNNs based ELM
a full version of local receptive field Convolutional neural network is presented in this toolbox.
5 years ago | 1 download |
Submitted
extreme learning machine with Sub-nets (classify or predict)
a single hidden layers feedforword network traind using sub_networks in the hidden noeds
5 years ago | 2 downloads |
Submitted
discover our first extreme learning machine gui toolbox
the most complicated and well known variants of ELM are presented in this tool box
5 years ago | 1 download |
Submitted
training of sparse neural network
Training of single hidden layer feedforward network for classification and regression based on L1 norm optimization.
5 years ago | 2 downloads |
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...
5 years ago | 7 downloads |
Submitted
Extreme Learning Machine for classification and regression
a single hidden layer feed-forward network for regression or classification Trained based on ELM.
5 years ago | 5 downloads |
Submitted
Autoencoders (Ordinary type)
the function returns a fully trained auto-encoder based ELM
5 years ago | 8 downloads |
Submitted
A New Training Scheme for Restricted Boltzmann Machines
simple tricks to train an RBM
5 years ago | 1 download |
Submitted
Multi-Scale Ensemble Extreme Learning Machine for regression
A very very simple trick to enhance multilayer Neural network learning for regression
5 years ago | 3 downloads |
Submitted
RUL prediction (C-MAPSS dataset)
Dynamic Adaptation for Length Changeable Weighted Extreme Learning Machine
5 years ago | 6 downloads |
Submitted
Basic learning rules for Rosenblatt perceptron
In these codes we introduce in details the basic learning rules of Rosenblatt perceptron.
6 years ago | 1 download |
Submitted
Contractive autoencoders
in these codes a set of functions created to fully train a Contractive Autoencoder.
6 years ago | 2 downloads |
Submitted
multilayers perceptron based Extreme Learning Machine
Training neural networks with (MLFN) multiple hidden layers with feed-forward type for regression or classification.
6 years ago | 4 downloads |
Submitted
Very fast Extreme Learning Machine in 5 lines
very fast version of Extreme Learning Machine is presented in this code.
6 years ago | 3 downloads |
