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For validation purposes, the authors compared the best implementation results with the ones given for the same region by the TerraClass 2010 project. The authors observed that our fuzzy MLP correctly classified 81% of the pixels analyzed.<\/p>","DOI":"10.4018\/ijncr.2015010104","type":"journal-article","created":{"date-parts":[[2015,3,11]],"date-time":"2015-03-11T12:33:28Z","timestamp":1426077208000},"page":"57-71","source":"Crossref","is-referenced-by-count":1,"title":["Classification of Land Use and Land Cover in the Brazilian Amazon using Fuzzy Multilayer Perceptrons"],"prefix":"10.4018","volume":"5","author":[{"given":"Toni","family":"Pimentel","sequence":"first","affiliation":[{"name":"Instituto Nacional de Pesquisas Espaciais, S\u00e3o Jos\u00e9 dos Campos, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando M.","family":"Ramos","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Pesquisas Espaciais, S\u00e3o Jos\u00e9 dos Campos, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra","family":"Sandri","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Pesquisas Espaciais, S\u00e3o Jos\u00e9 dos Campos, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"ijncr.2015010104-0","unstructured":"Canuto, A. 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