adaptive method

The article analyzes the requirements for increasing the probability of conformity assessment of products. To increase the probability of measuring inspection, there have to be applied more precise measuring systems; performed multiple observations of the investigated quantity. An analysis was conducted for each of the ways.

The neuroagent model of decision-making in the conditions of uncertainty is investigated. Adaptive methods of an artificial neural network learning without the teacher are considered. The algorithm and program model of neuroagent decision-making are developed. Efficiency of neuroagent decision-making has been confirmed by results of computer experiment. Influences of parameters of model on the neuroagent learning rate are investigated.