Height conversion in momentum and adaptive learning rate algorithm

There was a long training time for the norm BP neural network for GPS Height fitting, and easily converging to local minimum problems. Paper, introduced momentum and adaptive learning rate algorithm to improve the norm BP neural network for resolving the problem of the training and convergence. compared with the standard neural network, and calculating by a regional elevation control point coordinates, additional momentum adaptive neural network algorithm accuracy of GPS height conversion was much higher and more stable, and the convergence was much faster.