The model of odour intensity analyzer in a form of two layers of neurons. was proposed. The first layer consists of specific receptors of odorants, which are randomly distributed. The odorant influence on odour intensity of mixtures is depends on the number of suitable receptors and number of their connections with the second layer neurons (the degree of divergence). The second layer neuron is stimulated with the same power after receiving the signal from any receptor or receptors. Il was assumed that the odour intensity is directly proportional to the number of stimulated neurons in the second layer. The investigated model contained 1000 neurons in the first layer and 1456 neurons in the second layer. The first layer contained receptors A and B (RA and RB) in quantities 15% RA, IS% RB and 30% RA, 10% RB. Receptors A characterized the divergence I :9, receptors B - 1 :25. The stimulus were mixtures containing 5-100 molecules A and B per hundred (x , = 0.0, 0.2, 0.5, 0.8 and 1.0). The general similarity of • the model reaction with that of the human smell reaction was found.