Exploiting OSC models by using neural networks with an innovative pruning algorithm

Grazia Lo Sciuto, Giacomo Capizzi, Christian Napoli, Rafi Shikler, Dawid Połap, Marcin Woźniak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper we have investigated the relationship between the current and the active layer thickness of an organic solar cell (OSC) in order to improve its efficiency by means of a back propagation neural network. In order to preserve the generalization properties of the adopted neural network (NN) in this paper is presented also an innovative pruning technique. The extensive simulations performed show a good agreement between simulated and experimental data with an overall error of about 3%. The obtained results demostrate that the use of an MLP with associated an appropriate pruning algorithm to preserve its generalization capacities permits to accurately reproduce the relationship between the active layer thicknesses and the measured maximum power in an OSC. This neural model can be of great use in manufacturing processes.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Proceedings
EditorsRyszard Tadeusiewicz, Leszek Rutkowski, Witold Pedrycz, Rafal Scherer, Marcin Korytkowski, Jacek M. Zurada
PublisherSpringer Verlag
Pages711-722
Number of pages12
ISBN (Print)9783319912615
DOIs
StatePublished - 1 Jan 2018
Event17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018 - Zakopane, Poland
Duration: 3 Jun 20187 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10842 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018
Country/TerritoryPoland
CityZakopane
Period3/06/187/06/18

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