good night
Again I ask for help to the community, as I am new at this, I have some
basic questions.
I am looking for packages on neural networks and so you can search found
these two that I think are the most used, neuralnet, nnet.
So you can test, and correct me if I'm wrong the neuralnet only accepts as
input values ??nomer, did a little test
data (iris)
library (neuralnet)
Species.numeric <- as.numeric (iris $ Species)
iris.df <- data.frame (iris, Species.numeric)
net <- neuralnet (~ Species.numeric Sepal.Width Sepal.Length + + +
Petal.Width Petal.Length, iris.df, hidden = 2)
options (device = "windows")
plot (net)
net
I think the net library supports all type of data.
library (nnet)
library ("nnet")
RN <- nnet (iris $ Species ~., Data = iris, size = 3, rang = 0.1, decay
0.01, maxit = 20)
plot (RN)
my question is how this package can enter all the input attributes. and how
can I draw a sketch of the network similar to that of neuralnet, or how I
can put all the attributes not transform in the numeric neuralnet.
Is there a more effective package of neural networks.
thank you
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