mlp_net-class: An S4 class representing Multilayer Perception Network.

In FCNN4R: Fast Compressed Neural Networks for R

Description

The mlp_net class represents the Multilayer Perception Network employing the so-called compressed representation, which was inspired by the Compressed Column Storage familiar from sparse matrix algebra. Although the representation and algorithms working with it are somewhat complicated, the user is provided with a simple and intuitive interface that completely hides the internal workings of the package, which in its large part is written in C++.

Slots

m_name

character string, network name

m_layers

integer vector, stores the numbers of neurons in layers

m_n_pointers

integer vector, stores the so-called 'pointers' to neurons

m_n_prev

integer vector, stores the number of connected neurons in the previous layer

m_n_next

integer vector, stores the number of connected neurons in the next layer

m_w_pointers

integer vector, stores the so-called 'pointers' to weights

m_w_values

numeric vector, values of connection weights and biases

m_w_flags

logical vector, states (active/inactive) of weights and biases

m_w_on

integer value, the number of active weights

m_af

integer vector, activation functions' indices

m_af_p

numeric vector, activation functions' slope parameters

References

G. Klima. A new approach towards implementing artificial neural networks. Technical Report, http://fcnn.sourceforge.net/, 2013.

See Also

mlp_net for creating objects of this class.

FCNN4R documentation built on May 29, 2017, 4:26 p.m.