The application of genetic algorithm and neural network in C4I submarine modification

As importance of BMS, CS, C4, and C4ISR increase word wide, especially in submarine technology, smarting system, reducing the time of data processing, increasing accuracy of data result are major concern of maritime defense. Thus, intelligent choosing of data collection sensors, detection and target monitoring are serious matters of domain. The aim of this paper is to plan sensor selection based on using tools such as genetic algorithm and neural network. At the end, outcome execution of this method has been compared with other typical methods which indicates the increase of processing speed and the promote of network function.