rbf {neural}R Documentation

RBF neural network

Description

The recalling method of the RBF network which was trained by the rbftrain function.

Usage

 rbf(inp,weight,dist,neurons,sigma, ...)

Arguments

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.

Details

the last four argument can be produce by the rbftrain algorithm.

Value

a matrix that contains the response data of the network in each row.

See Also

`rbftrain' for training an RBF network, `mlp' and `mlptrain' for classification.


[Package neural version 1.4.2 Index]