fdomig

%%%
% Feed forward with back propagation algorithm
%
% @param    X ... all possible inputs (matrix)
% @param    Y ... all expected outputs (matrix)
% @param    T ... the network topology (matrix)
% @param    l ... the iteration limit for the error min. func.
% @returns  W ... the calculated weight matrix
% @returns Ev ... the error dynamic vector
%%

fdomig

%%%
% Feed forward with back propagation algorithm
%
% @param    X ... all possible inputs
% @param    Y ... all expected outputs
% @param    T ... the network topology
% @param    l ... the iteration limit for the error min. func.
% @returns  W ... the optimal weight matrix
% @returns Ev ... the error dynamic vector
%%

fdomig

%%%
% Feed forward with back propagation algorithm
%
% @param    X ... all possible inputs
% @param    Y ... all expected outputs
% @param    T ... the network topology
% @param    l ... the iteration limit for the error min. func.
% @returns  W ... the optimal weight matrix
% @returns Ev ... the error dynamic vector
%%