SURVEYING ARTIFICIAL GLANDS IN ENDOCRINE NEURAL NETWORKS APPLIED IN CONTROL SYSTEMS

In this paper, an effort would be made to provide a review of current state of the development of artificial glands within endocrine neural networks. The main goal is to systematize the approaches of building the glands, to offer mathematical apparatus behind them, and to describe control logics enabling smooth work and efficient synergy between the glands and traditional neural networks. In the final phase, this work will offer recommendations for selecting optimal gland profile in accordance with a specific use case.