A spiking neural network-based long-term prediction system for biogas production

Efficient energy production from biomass is a central issue in the context of clean alternative energy resource. In this work we propose a novel model based on spiking neural networks cubes in order to model the chemical processes that goes on in a digestor for the production of usable biogas. For t...

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Veröffentlicht in:	Neural networks 2020-09, Vol.129, p.271-279
Hauptverfasser:	Capizzi, Giacomo, Lo Sciuto, Grazia, Napoli, Christian, Woźniak, Marcin, Susi, Gianluca
Format:	Artikel
Sprache:	eng
Schlagworte:	Anaerobic process models Biogas NeuCube Neural models Spiking neural networks Training algorithms
Online-Zugang:	Volltext
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