@inproceedings{
 title = {Evolving Fuzzy Neural Networks applied to odor recognition in an artificial nose},
 type = {inproceedings},
 year = {2004},
 volume = {1},
 id = {8af5016f-81df-3109-9c00-d7945386abea},
 created = {2019-02-14T18:02:00.194Z},
 file_attached = {false},
 profile_id = {74e7d4ea-3dac-3118-aab9-511a5b337e8f},
 last_modified = {2019-02-14T18:02:00.194Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {A pattern recognition system using Evolving Fuzzy Neural Networks for an artificial nose is presented. The artificial nose is composed of an adaptive and on-line learning method. For the classification of gases derived from the petroliferous industry, the method presented achieves better results (mean classification error of 0.88%) than those obtained by Time Delay Neural Networks (10.54%).},
 bibtype = {inproceedings},
 author = {Zanchettin, C. and Ludermir, T.B.},
 booktitle = {IEEE International Conference on Neural Networks - Conference Proceedings}
}

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