rbf {neural} | R Documentation |
The recalling method of the RBF network which was trained by the rbftrain function.
rbf(inp,weight,dist,neurons,sigma, ...)
inp |
a matrix that contains one input data in each row. |
weight |
the weights of the network. |
dist |
the distortion of the network. |
neurons |
a numeric vector with length equals to the number of layers in the network, and the ith layer will contains neurons[i] neuron. |
sigma |
the sigma parameters of the network. |
... |
currently not used. |
the last four argument can be produce by the rbftrain algorithm.
a matrix that contains the response data of the network in each row.
`rbftrain' for training an RBF network, `mlp' and `mlptrain' for classification.