The paper investigates the value of simulations for research activities and identifies the main reasons for the feasibility of conducting experiments in the virtual space.
The paper presents the stages of creating a software system for decoding light codes and examines the effectiveness of its operation. The relevance of the development is due to the need to combine the speed and distance of information delivery for the further development of wireless communication systems.
This article provides the comparison of libraries neural networks. Based on this analysis was determined to develop a neural network for classification of spectra based on Encog library, because it implemented many components and gives the best result with a small number of items for training. Showed the architecture of neural networks for data classification of spectral analysis.