Applicability of Neural Network Techniques to Underwater Naval Tactics

摘要

Neural network techniques have been intensively studied, and their application areas are wide, including function approximation, classification and data processing. Increasing computational power and new underwater technology developments, like autonomous underwater vehicles, allow researchers to consider using artificial neural networks in a new domain of applicability: the optimization of naval tactics.3 This article proposes to give new insight to neural networks by analyzing their capacity to exhibit successful tactics in a multi-agent environment.