A Relationship Construction Method between Lifecycle Cost and Indexes of RMSST Based on BP Neural Network

In the paper, it divides LCC that affects the materiel effectiveness of the performance objectives of RMSST into the cost of development and the cost of support of operation and maintenance, and evaluates the cost of development, or the cost of support of operation and maintenance on BP Neural Network. There is the main limitation and insufficient of selecting BP Neural Network in addition to the method itself. But it provides important supporting to study the relationship between the performance objectives of RMSST and life cycle cost based on the theory of BP Neural Network.