Improved artificial neural networks based whale optimization algorithm

Backpropagation Optimization algorithm
DOI: 10.52866/ijcsm.2023.02.03.015 Publication Date: 2023-10-04T07:07:53Z
ABSTRACT
Owing to the increasing interest in artificial neural networks (ANNs) across various fields of study, many studies have focused on enhancing their performance through utilisation different learning algorithms. This study examines use Whale Optimization Algorithm (WOA) as a training algorithm improve classification accuracy ANNs. To achieve high level with ANN models, it is imperative ensure that model appropriately designed terms employed structure, and activation function. In this work, WOA was adopted train models using 10 well-known datasets sourced from UCI machine repository. The WOA-trained compared backpropagation-trained ANN, results showed exhibited superior performance.
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