neural (version 1.4.2.1)

rbf: 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.

Value

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

Details

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

See Also

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