Work

Surveying Artificial Glands in Endocrine Neural Networks Applied in Control Systems

Year: 2024

Type: article

Abstract: 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.

Source: Facta Universitatis Series Automatic Control and Robotics

DOI: 10.22190/fuacr240325006m

Authors: Miroslav Milovanović, Jianxun Cui, Jelena Petrović, Anđela Đorđević, Saša S. Nikolić

Institutions: University of Nis, Harbin Institute of Technology

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4403943980

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