Marcelo, O pacote AMORE tem implementação de RN, fácil de usar, exemplo do pacote. library(AMORE) # P is the input vector P <- matrix(sample(seq(-1,1,length=1000), 1000, replace=FALSE), ncol=1) # The network will try to approximate the target P^2 target <- P^2 # We create a feedforward network, with two hidden layers. # The first hidden layer has three neurons and the second has two neurons. # The hidden layers have got Tansig activation functions and the output layer is Purelin. net <- newff(n.neurons=c(1,3,2,1), learning.rate.global=1e-2, momentum.global=0.5, error.criterium="LMS", Stao=NA, hidden.layer="tansig", output.layer="purelin", method="ADAPTgdwm") result <- train(net, P, target, error.criterium="LMS", report=TRUE, show.step=100, n.shows=5 ) y <- sim(result$net, P) plot(P,y, col="blue", pch="+") points(P,target, col="red", pch="x") Att
Alguém teria um tutorial bem básico sobre redes neurais no R? Muito obrigado. _______________________________________________ R-br mailing list R-br@listas.c3sl.ufpr.br https://listas.inf.ufpr.br/cgi-bin/mailman/listinfo/r-br