random.init.MLPnet: Initialize the network with random weigths and biases.

In AMORE: Artificial Neural Network Training and Simulating

Description

Provides random values to the network weights and biases so as to start with. Basically it applies the random.init.MLPneuron function to every neuron in the network.

Usage

random.init.MLPnet(net) 

Arguments

net	The neural network object

Value

random.init.MLPnet returns the input network with weights and biases changed randomly.

Author(s)

Manuel Castejón Limas. [e-mail]
Joaquin Ordieres Meré. [e-mail]
Ana González Marcos. [e-mail]
Alpha V. Pernía Espinoza. [e-mail]
Francisco Javier Martinez de Pisón. [e-mail]
Fernando Alba Elías. [e-mail]

See Also

random.init.MLPneuron, init.MLPneuron, newff

AMORE documentation built on Feb. 12, 2020, 9:07 a.m.