Аннотация:Inverse problems in laser spectroscopy were solved by applying artificial neural networks (ANN). The use of ANN provided a better data processing technique than conventional variation algorithms. The model-based approach allowed the data sets used for training as large and representative as needed. The experiment-based approach was able to consider various factors affecting the studied object that were difficult to include in a model.