NEURAL MOVEMENT IN REAL TIME
A software implementation of the neural network approach to the problem of real-time motion control is proposed. A relatively new efficient neural network learning algorithm using a database containing a terrain relief and a description of object motions is considered. The algorithm was programmed using Python, C#, and Theano and cuDNN library modules, which make it possible to efficiently quickly determine, optimize, and evaluate multidimensional arrays. The proposed learning algorithm controls the object in real time, requires a small amount of memory and provides high quality motion.