INTRODUCTIONThe development of a low-cost process for the removal of acid gases and solid particles in incinerator flue gases is desirable. A cyclone scrubber is one of the processes capable of absorbing gases, separating particles and simultaneously decreasing the temperature of the gases. To understand the phenomena of gas absorption and particle separation simultaneously in a cyclone scrubber, it is very important to understand gas absorption and particle separation exclusively. This article studies gas-liquid absorption phenomena in a cyclone purifier. Despite the relatively simple design and wide use of these types of purifiers, the processes occurring with simultaneous absorption and separation, their interactions and fluid dynamics are quite complex and give rise to quite complicated design and optimization problems . Consequently, its modeling is a complex task since it is necessary to solve a system of nonlinear differential equations and evaluate numerous transport and chemical parameters. Therefore, the development of simpler and more reliable models is the subject of much research. A process model is a functional relationship between variables that explains the cause-and-effect relationships between inputs and outputs. Models can be developed from fundamental principles, such as the laws of conservation of mass, energy, and momentum, as well as other principles of chemical engineering. Such models are capable of explaining the underlying physics of the system and are called phenomenological models. However, due to the complexity of the process in the cyclone purification system, it is very difficult to obtain accurate phenomenological models. Even if an accurate phenomenological model is obtained, ...... middle of article ...... the proposed model is more reliable. Table 3 Average absolute relative errors between experimental and calculated values ​​Gas-liquid system Average absolute relative error, %CO2-Ca(OH)2-H2O:L/G = 0.16L/G = 0.1L/G = 0, 07CO2-NaOH-H2O:L/G = 0.160.3850.5400.3660.725CONCLUSIONThis article studies the artificial neural network modeling strategy for the nonlinear dynamic processes of a cyclone purifier. Three-layer neural network (3-FFNN) was chosen for neural network modeling. The comparison between the neural network simulation results and experimental data was discussed to show the validity of the proposed model. The comparison shows that the accuracy of 3-FFNN is satisfactory with the experimental results. In conclusion, the highly nonlinear behavior of the cyclone scrubber can be successfully modeled using 3-FFNN..