Neuroadaptive Intelligence: A Biologically-Inspired, Self-Repairing Neural Layer with Adaptive Learning for Molecular Graph Classification
Published in Conference Name (To be added if known), 2024
This conference paper introduces Neuroadaptive Intelligence, a novel approach inspired by biological systems. It details the development of a self-repairing neural layer incorporating adaptive learning mechanisms specifically designed for the complex task of molecular graph classification. This work represents a significant contribution to biologically-inspired AI and its application in scientific domains.
Author:
- Md Azizul Hakim (Student, Bangladesh Sweden Polytechnic Institute, Bangladesh)
Recommended citation: Hakim, M. A. (2025). "Neuroadaptive Intelligence: A Biologically-Inspired, Self-Repairing Neural Layer with Adaptive Learning for Molecular Graph Classification." Conference Proceedings (To be added).