Home |  English version |  Mappa |  Commenti |  Sondaggio |  Staff |  Contattaci Cerca nel sito  
Istituto sull'inquinamento atmosferico

Torna all'elenco Contributi in rivista anno 2015

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Artificial neural networks for small dataset analysis

Anno di pubblicazione: 2015

Formato: Elettronico Cartaceo

Autori: Pasini, Antonello

Affiliazioni autori: CNR-IIA

Autori CNR:

  • ANTONELLO PASINI

Lingua: inglese

Abstract: Artificial neural networks (ANNs) are usually considered as tools which can help to analyze cause-effect relationships in complex systems within a big-data framework. On the other hand, health sciences undergo complexity more than any other scientific discipline, and in this field large datasets are seldom available. In this situation, I show how a particular neural network tool, which is able to handle small datasets of experimental or observational data, can help in identifying the main causal factors leading to changes in some variable which summarizes the behaviour of a complex system, for instance the onset of a disease. A detailed description of the neural network tool is given and its application to a specific case study is shown. Recommendations for a correct use of this tool are also supplied.

Lingua abstract: inglese

Pagine da: 953

Pagine a: 960

Pagine totali: 8

Rivista:

Journal of thoracic disease Pioneer Bioscience Publishing Company
Paese di pubblicazione: Hong Kong
Lingua: inglese
ISSN: 2072-1439

Numero volume: 7

Numero fascicolo: 5

DOI: 10.3978/j.issn.2072-1439.2015.04.61

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Indicizzato da: ISI Web of Science (WOS) [000355934800032]

Parole chiave:

  • Neural networks
  • small datasets
  • nonlinear regression
  • causal influences
  • complex systems

Strutture CNR:

Moduli:

Allegati: Paper (application/pdf)
Pdf del paper

 
Torna indietro Richiedi modifiche Invia per email Stampa
Home Il CNR  |  I servizi News |   Eventi | Istituti |  Focus