Evaluation of Adaptive Genetic Algorithm to Environmental Modeling of Peponapis and Cucurbita


Autoria(s): Stange, Renata Luiza; Giannini, Tereza Cristina; Santana, F. S.; José Neto, J.; Saraiva, A. M.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2011

Resumo

This paper presents a free software tool that supports the next-generation Mobile Communications, through the automatic generation of models of components and electronic devices based on neural networks. This tool enables the creation, training, validation and simulation of the model directly from measurements made on devices of interest, using an interface totally oriented to non-experts in neural models. The resulting model can be exported automatically to a traditional circuit simulator to test different scenarios.

Identificador

IEEE LATIN AMERICA TRANSACTIONS, v.9, n.2, p.171-177, 2011

1548-0992

http://producao.usp.br/handle/BDPI/18154

10.1109/TLA.2011.5765570

http://dx.doi.org/10.1109/TLA.2011.5765570

Idioma(s)

por

Publicador

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Relação

Ieee Latin America Transactions

Direitos

closedAccess

Copyright IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Palavras-Chave #wireless communications #modeling #simulation #neural networks #software tools #GOURD BEES #SQUASH #DISTRIBUTIONS #HYMENOPTERA #APOIDEA #Computer Science, Information Systems #Engineering, Electrical & Electronic
Tipo

article

proceedings paper

publishedVersion