rbf: RBF neural network

In neural: Neural Networks

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.

neural documentation built on May 2, 2019, 4:32 a.m.