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 …

The optimisation of travelling salesman problem based on parallel ant colony algorithm

A Jarrah, ASA Bataineh… - International Journal of …, 2022 - inderscienceonline.com
General search algorithms offer some solutions to solve and avoid the constraints of the
finding shortest path problem. Ant Colony Optimisation (ACO) is a meta-heuristic search …

[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 …

[PDF][PDF] Optimized FPGA-Based Implementation of Brain Tumor Detection by Combining K-Means and Grey Wolf Optimization Algorithms

A Jarrah, S Amri - Traitement du Signal, 2022 - academia.edu
Accepted: 12 December 2022 There is a need for fast, accurate, and real-time algorithms to
detect brain tumors effectively to support the physician's decision-making for treatment …

A New Optimized Hybridization Approach for in silico High Throughput Molecular Docking on FPGA Platform

A Jarrah, J Lababneh - Current Computer-Aided Drug Design, 2024 - ingentaconnect.com
Background: The development process of a new drug should be a subject of continuous
evolution and rapid improvement as drugs are essential to treat a wide range of diseases of …

[PDF][PDF] Automatic Design of Deep Convolutional Neural Networks: An Application to Image Classification

A Al Bataineh, D Kaur - Available at SSRN 4208254 - papers.ssrn.com
Convolutional neural networks (CNN) are one of the most widely used and powerful deep
learning algorithms. They achieve results that were never possible before and exceed …