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In view of the tightening of the requirements of the International Convention for the Prevention of Pollution from Ships, in particular, the Regulation on the Prevention of Air Pollution from Ships, it becomes urgent to introduce new methods for monitoring and limiting the concentration of harmful emissions from ship units into the atmosphere. The NOx content in the exhaust gases can be achieved by influencing the maximum combustion temperature provided by the introduction of recirculation gases. Flue gases with a temperature of 300-400 ° C are selected in front of the air heater and recirculation smoke extractors and fed into the furnace. As a result, the maximum temperature in the furnace is reduced by 120-130 ° C and the oxygen concentration in the combustion zone decreases, which also reduces the formation of fuel NOx. The efficiency of the steam boiler is reduced relatively little (0.01-0.03% per 1% of recirculation gases). The efficiency of suppression of the formation of nitrogen oxides during the introduction of recirculation gases is determined by the following factors: the place of selection of gases for recirculation; the conditions of their introduction into the furnace; the degree of recycling r,%; distribution of recirculation gases by the volume of the combustion chamber; boiler condition. The study of methods for reducing the concentration of NOx in the exhaust gases of ship steam boilers. The modern scientific approaches in the field of reducing harmful emissions are considered, in particular, their advantages and disadvantages are indicated. A method is proposed that implements a neural network algorithm in a flue gas recirculation control system, which is characterized by the ability to minimize the content of NOx values when a ship's boiler is operating at different thermal loads. Comparative modeling of the proposed neural network ACS and traditional ACS of the flue gas recirculation process when a ship's boiler is operating at 50% load has shown the advantage of a neural network control system trained to achieve the lowest possible content of harmful emissions in the atmosphere. [ABSTRACT FROM AUTHOR]