Multi-layer perceptron training optimization using nature inspired computing
A Al Bataineh, D Kaur, SMJ Jalali - IEEE Access, 2022 - ieeexplore.ieee.org
Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and
have proven useful and reliable in a wide range of classification and regression problems …
have proven useful and reliable in a wide range of classification and regression problems …
Multifidelity data fusion based on gradient-enhanced surrogate modeling method
A multifidelity surrogate (MFS) model is a data fusion method for the enhanced prediction of
less intensively sampled primary variables of interest (ie, high-fidelity (HF) samples) with the …
less intensively sampled primary variables of interest (ie, high-fidelity (HF) samples) with the …
High performance implementation of neural networks learning using swarm optimization algorithms for EEG classification based on brain wave data
A Al Bataineh, A Jarrah - International Journal of Applied …, 2022 - igi-global.com
EEG analysis aims to help scientists better understand the brain, help physicians diagnose
and treatment choices of the brain-computer interface. Artificial neural networks are among …
and treatment choices of the brain-computer interface. Artificial neural networks are among …
[PDF][PDF] Optimal convolutional neural network architecture design using clonal selection algorithm
A Al Bataineh, D Kaur - International Journal of Machine Learning and …, 2019 - ijmlc.org
In this paper, the Clonal Selection Algorithm (CSA) is implemented to determine the optimal
architecture of a convolutional neural network (CNN) for the classification of handwritten …
architecture of a convolutional neural network (CNN) for the classification of handwritten …
[引用][C] Automatic Design of Deep Convolutional Neural Networks: An Application to Image Classification
A Al Bataineh, D Kaur - Available at SSRN 4208254