Structural Design of Memristive Biosensors

This paper considers importance of knowledge bases for the structural design of memristive biosensors, which offer innovative solutions in the field of biosensing due to their high sensitivity, fast response and low energy consumption. The paper analyzes modern approaches to the use of knowledge bases in the process of designing complex systems. The main stages of designing memristive biosensors are presented, at each of which the use of a knowledge base plays a key role. It’s shown how knowledge bases help to systemize information, support decision making, improving design quality and speed up development. Examples of structural schemes and algorithms given in the article illustrate the practical application of representation models and knowledge extraction methods in engineering problems. The discussion includes a description of the creation and use of a knowledge base, the integration of interdisciplinary knowledge and the automation of design processes. The article emphasizes the relevance of the integration of knowledge bases and modern information technologies to improve the efficiency and reliability of the development of memristive biosensors, which makes it important for the scientific community and practitioners in the field of biosensors and engineering.