%0 Conference Proceedings %@nexthigherunit 8JMKD3MGPCW/43SKC35 %@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S} %@resumeid 8JMKD3MGP5W/3C9JHRQ %@resumeid 8JMKD3MGP5W/3C9JGGN %@usergroup administrator %@usergroup jefferson %3 On initialization_nowosad.pdf %@secondarykey INPE-11627-PRE/7008 %A Barros, Maria Suelena Santiago, %A Nowosad, Alexandre Guirland, %A Andrade Amorin, Maria Conceição de, %T On initialization of back propagation neural networks for land cover classification using satellite imageries. %B Geoscience and Remote Sensing Symposium, 1993. IGARSS. %8 18-21 Aug 1993 %C Tokyo , Japan %D 1993 %V 2 %P 902-904 %S Anais %2 cptec.inpe.br/walmeida/2004/12.02.15.29.51 %4 cptec.inpe.br/walmeida/2004/12.02.15.29 %X The use of feedback in back propagation neural networks satellite imagery land cover classification is investigated. Two networks are used and the described method can be considered as a discrete-time stochastic evolutionary process. The input to the process is an imagery pair plus the set of all weights of the last step's final configuration. The final answer would be a subset of weights corresponding to one of the networks %@language English %@copyholder SID/SCD %@e-mailaddress alex@cptec.inpe.br %@secondarytype PRE CI %@format Papel, On-line. %@area MET %@group DMD-INPE-MCT-BR