Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier. (arXiv:2202.04962v1 [math.OC])

In recent years, deep learning techniques have been introduced into the field
of trajectory optimization to improve convergence and speed. Training such
models requires large trajectory datasets. However, the convergence of low
thrust (LT) optimizations is unpredictable before the optimization process
ends. For randomly initialized low thrust transfer data generation, most of the
computation power will be wasted on optimizing infeasible low thrust transfers,
which leads to an inefficient data generation process. This work proposes a
deep neural network (DNN) …

arxiv deep neural network identification math network neural network