Which type of networking is simulated by artificial neural networks?

Artificial neural networks are designed to mimic the way human brains process information, and this is closely related to biological networking. In biology, neurons connect through synapses to transmit signals, enabling complex functions such as learning and memory. Similarly, artificial neural networks consist of interconnected nodes (analogous to neurons) that communicate to process data, learn from it, and make decisions based on patterns recognized in that data.

This biological basis underpins the architecture and functioning of artificial neural networks, allowing them to learn from experiences and improve over time, much like human brains do.

While social networking, traffic networking, and digital networking refer to different types of connections and data interactions, they do not encompass the biological principles that are foundational to how artificial neural networks operate. Therefore, understanding that artificial neural networks are rooted in biological processes helps clarify why this type of networking is the accurate choice.