INTELLECTUAL EVOLUTION SYSTEM OF SUPPORT OF DECISION-MAKING BASED ON NEURAL NETWORK AND IMMUNE APPROACHES

The article considers the model of the intellectual decision support system based on the neural network, the training and evolution of which are carried out using the immune approach. The evolution of the system is considered as the task of adapting it to the conditions for changing the external environment and the properties of the decision-making object, consisting of procedures for correcting the number of neurons in the hidden layers and the parameters of the system model using immune models for clonal selection and the immune network.