title: Self-organising sensory maps in odour classification mimicking.
abstract: A system for artificial olfaction is introduced, which is composed of a sensor array for gas sensing and a self-organising artificial neural network. A detailed reformulation of the most effective Self-Organising sensory Map (SOM)-based algorithms for odour classification and other applications is provided. An opto-electronic micromachined implementation of the neural network is introduced, which employs a novel hybrid mechanism for activating neural groups, avoiding fabricated cloning templates hardware.
authors.affiliation: Dipartimento di Ingegneria Elettrica, Università di L'Aquila, Italy.
authors.forename: F A
authors.initials: FA
authors.lastname: Davide
authors.forename: C
authors.initials: C
authors.lastname: Di Natale
authors.forename: A
authors.initials: A
authors.lastname: D'Amico
mesh_terms: D000465:Algorithms; D001931:Brain Mapping; D016571:Neural Networks, Computer; D009812:Odorants; D009833:Olfactory Pathways / Q000502:physiology*