mlp_check_inout

numeric matrix, each row corresponds to one input vector,
the number of columns must be equal to the number of neurons
in the network input layer

input

numeric matrix with rows corresponding to expected outputs,
the number of columns must be equal to the number of neurons
in the network output layer, the number of rows must be equal to the number
of input rows

output

internal

Provides an interface to kernel routines from the FCNN C++ library.
FCNN is based on a completely new Artificial Neural Network representation that
offers unmatched efficiency, modularity, and extensibility. FCNN4R provides
standard teaching (backpropagation, Rprop, simulated annealing, stochastic
gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon),
but it is first and foremost an efficient computational engine. Users can
easily implement their algorithms by taking advantage of fast gradient computing
routines, as well as network reconstruction functionality (removing weights
and redundant neurons, reordering inputs, merging networks). Networks can be
exported to C functions in order to integrate them into virtually any software
solution.

mlp_check_inout: Check validity of inputs and outputs

Description

Usage

Arguments

Value