Autors: Komarski, D. P., Vassilev, V. A., Nikolova, H. N.
Title: Surface-shaping mechatronic neural network
Keywords: mechatronic; neural network; flexure; rotation; surface-shap

Abstract: Neural networks are fundamental concept in artificial intelligence and machine learning, inspired by the structure and function of the human brain. A neural network is a computational model composed of interconnected nodes (called neurons or units) organized in layers. These networks are designed to recognize patterns, learn from data, and make predictions or decisions. These systems leverage the properties of materials and structures to process information, adapt to external stimuli, or perform tasks such as pattern recognition, optimization, or control. The developed surface-shaping mechanical neural network is based on systems with parallel kinematics but in addition contains sensing elements part of the electronic system controlled by developed software. The system can adapt its surface geometry depend on the external stimuli, in this case the force applied on it

References

    Issue

    International Scientific and Technical Conference Automation of Discrete Production Engineering 2025, pp. 98-108, 2025, Bulgaria, https://doi.org/10.53656/adpe-2025.09

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в национален референтен списък