9. Neural Network-Based Classification Systems
Artificial intelligence drives neural network-based classification systems to automatically recognise and categorise underwater hazards. To give fast and precise target classification, these systems examine data from many sensors—including sonar, magnetic, and optical sensors. Using deep learning algorithms taught on large databases of mine-like objects, modern systems attain classification accuracy rates above 95%. Real-time operation of the systems allows them to process enormous volumes of sensor data and offer operators instant threat assessments.
