mlp {neural}R Documentation

MLP neural network

Description

The recalling method of the MLP network which was trained by the mlptrain function.

Usage

 mlp(inp,weigth,dist,neurons,actfns)

Arguments

inp a matrix that contains one input data in each row.
weigth the weigths of the network.
dist the distortions 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.
actfns a numeric vector, that contains the numeric codes of the activation functions. The length of the vector must be the same as the length of the neurons vector, and each element of the vector must be between 1-4. The possible numeric codes are the following: 1: Logistic function 2: Hyperbolic tangent function 3: Gauss function 4: Identical function.

Details

the last four argument is determined by the mlptrain algorithm.

Value

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

See Also

`mlptrain' for training an MLP network, `rbf' and `rbftrain' for approximation.


[Package neural version 1.0 Index]