The main types of neurons, architectures, algorithms for training artificial neural networks are considered. Particular attention is paid to the tasks of processing information in real time: classification, emulation, forecasting, control, etc. In conditions of structural and parametric uncertainty. Along with traditional ones, the book contains original results related to the optimization of learning processes.