Combining classifiers of pesticides toxicity through a neuro-fuzzy approach

Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, Giuseppina Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even more in the context of increasing number of different classifiers applied in toxicity prediction. Consequently, there exist a need to develop tools to integrate various approaches. The goal of this research is to apply neuro-fuzzy networks to provide an improvement in combining the results of five classifiers applied in toxicity of pesticides. Nevertheless, fuzzy rules extracted from the trained developed networks can be used to perform useful comparisons between the performances of the involved classifiers. Our results suggest that the neuro-fuzzy approach of combining classifiers has the potential to significantly improve common classification methods for the use in toxicity of pesticides characterization, and knowledge discovery.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages293-303
Number of pages11
Volume2364
ISBN (Print)3540438181, 9783540438182
Publication statusPublished - 2002
Event3rd International Workshop on Multiple Classifier Systems, MCS 2002 - Cagliari, Italy
Duration: Jun 24 2002Jun 26 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2364
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Workshop on Multiple Classifier Systems, MCS 2002
CountryItaly
CityCagliari
Period6/24/026/26/02

Fingerprint

Neuro-fuzzy
Toxicity
Pesticides
Classifiers
Classifier
Prediction
Fuzzy rules
Knowledge Discovery
Fuzzy Rules
Data mining
Mining
Integrate

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Benfenati, E., Mazzatorta, P., Neagu, D., & Gini, G. (2002). Combining classifiers of pesticides toxicity through a neuro-fuzzy approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2364, pp. 293-303). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2364). Springer Verlag.

Combining classifiers of pesticides toxicity through a neuro-fuzzy approach. / Benfenati, Emilio; Mazzatorta, Paolo; Neagu, Daniel; Gini, Giuseppina.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2364 Springer Verlag, 2002. p. 293-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2364).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Benfenati, E, Mazzatorta, P, Neagu, D & Gini, G 2002, Combining classifiers of pesticides toxicity through a neuro-fuzzy approach. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2364, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2364, Springer Verlag, pp. 293-303, 3rd International Workshop on Multiple Classifier Systems, MCS 2002, Cagliari, Italy, 6/24/02.
Benfenati E, Mazzatorta P, Neagu D, Gini G. Combining classifiers of pesticides toxicity through a neuro-fuzzy approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2364. Springer Verlag. 2002. p. 293-303. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Benfenati, Emilio ; Mazzatorta, Paolo ; Neagu, Daniel ; Gini, Giuseppina. / Combining classifiers of pesticides toxicity through a neuro-fuzzy approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2364 Springer Verlag, 2002. pp. 293-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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