Published August 31, 2022
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Fig. 6 in Empirical mode decomposition applied to acoustic detection of a cicadid pest
Authors/Creators
- 1. Instituto Federal de Goiás, DAAII, Matemática, Rua 75, 46, Goiânia 74055-110, GO, Brazil & Universidade Federal de Goiás, EMC, Av. Universitária, 1488, Goiânia 74605-010, GO, Brazil
- 2. Instituto Federal de São Paulo, Av. C-1, 250, Barretos 14781-502, SP, Brazil
- 3. Universidade Estadual de Goiás, Av. R2, Qd.01, Jardim Novo Horizonte II, Iporá 72600-000, GO, Brazil
- 4. Universidade Federal de Goiás, EMC, Av. Universitária, 1488, Goiânia 74605-010, GO, Brazil
- 5. Instituto de Biociências, Letras e Ciências Exatas, Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo, 2265, São José do Rio Preto 15054-000, SP, Brazil
Description
Fig. 6. SVM structure used in the proposed approach. Layer A is the input layer, with m passive elements; layer B is the hidden layer, with n(Xm) active sc elements; and layer C is the output layer, with one active linear element. In layer B, φ 2 = φn(Xm) 1, φ 1 = φn(Xm), w 2 = wn(Xm) 1 and w 1 = wn(Xm).
Notes
Published as part of Souza, Uender Barbosa de, Escola, João Paulo Lemos, Maccagnan, Douglas Henrique Bottura, Brito, Leonardo da Cunha & Guido, Rodrigo Capobianco, 2022, Empirical mode decomposition applied to acoustic detection of a cicadid pest, pp. 1-14 in Computers and Electronics in Agriculture 199 on page 6, DOI: 10.1016/j.compag.2022.107181, http://zenodo.org/record/8429970
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- Journal article: 10.1016/j.compag.2022.107181 (DOI)
- Journal article: urn:lsid:plazi.org:pub:CB49FFBCFF88A64AFFC7837FFFA4731B (LSID)
- Journal article: https://zenodo.org/record/8429970 (URL)