Location of amide I mode of vibration in computed data utilizing constructed neural networks
| dc.contributor.author | Papamokos, G. V. | en |
| dc.contributor.author | Tsoulos, I. G. | en |
| dc.contributor.author | Demetropoulos, I. N. | en |
| dc.contributor.author | Glavas, E. | en |
| dc.date.accessioned | 2015-11-24T16:41:12Z | |
| dc.date.available | 2015-11-24T16:41:12Z | |
| dc.identifier.issn | 0957-4174 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/8381 | |
| dc.rights | Default Licence | - |
| dc.subject | neural network | en |
| dc.subject | genetic algorithms | en |
| dc.subject | amide i mode | en |
| dc.subject | genetic programming | en |
| dc.subject | grammatical evolution | en |
| dc.subject | infrared-spectroscopy | en |
| dc.subject | prediction | en |
| dc.subject | proteins | en |
| dc.title | Location of amide I mode of vibration in computed data utilizing constructed neural networks | en |
| heal.abstract | An automatic location method of amide I mode of vibration between computed data is proposed, based on the well established neural network model of artificial intelligence. This method was developed by constructing and testing the neural network on previously computed and characterized data which were divided in the training and the testing set, respectively. The results show high level of success since the majority of amide I modes of vibration in the testing set were located 99.5%. (C) 2009 Elsevier Ltd. All rights reserved. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | DOI 10.1016/j.eswa.2009.04.065 | - |
| heal.identifier.secondary | <Go to ISI>://000270646200024 | - |
| heal.identifier.secondary | http://ac.els-cdn.com/S0957417409004175/1-s2.0-S0957417409004175-main.pdf?_tid=7ed5d9b3498193b3e07d36f5b16addc7&acdnat=1335372942_77d7e569a723832b0eb727db1f90e40e | - |
| heal.journalName | Expert Systems with Applications | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2009 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείας | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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