Neural networks (NNs) are computer models based on the human brain, which include input, hidden, and output layers with interconnected nodes or neurons. Artificial intelligence includes NNs as one of its subclasses of deep learning technologies. Continuously expanding this mode of thought is essential to keep up with contemporary technology and science. Mcculloch and Pitts initially explored artificial neural networks (ANNs) in [1]. They investigated how such neurons work. Their analysis suggests various valuable applications for this method in the context of their work. Such types of applications can be found in many different domains, including statistical modelling, data processing, circuit theory, and others [2]-[7].