adapt                 package:AMORE                 R Documentation

_A_d_a_p_t_a_t_i_v_e _o_n-_l_i_n_e _s_i_n_g_l_e _p_a_t_t_e_r_n _t_r_a_i_n_i_n_g

_D_e_s_c_r_i_p_t_i_o_n:

     Modifies the neural network weights and biases according to one
     pattern chosen from the training set. Mostly written to be called
     by the train function so as to be applied to the whole training
     set. 

     Currently the user may choose amongst several versions of the same
     function. The differences lay in the incresing degree of C code
     programming involve. The slower adapt.R.NeuralNet was the original
     R code function and adapt.C4.NeuralNet (a.k.a adapt.NeuralNet ) is
     the more C conversed function and the one that provides higher
     speeds of execution.

_U_s_a_g_e:

     adapt.NeuralNet(net,Pvector,target)
     adapt.R.NeuralNet(net,Pvector,target)
     adapt.C1.NeuralNet(net,Pvector,target)
     adapt.C2.NeuralNet(net,Pvector,target)
     adapt.C3.NeuralNet(net,Pvector,target)

_A_r_g_u_m_e_n_t_s:

     net: Neural Network to train.

 Pvector: Input values of the training pattern.

  target: Output values of the training pattern.

_V_a_l_u_e:

     These functions return a neural network object modified according
     to the chosen pattern vector.

_A_u_t_h_o_r(_s):

     Manuel Castejn Limas.              manuel.castejon@unileon.es
      Joaquin Ordieres Mer.             
     joaquin.ordieres@dim.unirioja.es
      Ana Gonzlez Marcos.                ana.gonzalez@unileon.es 
      Alpha V. Perna Espinoza.           alpha.pernia@alum.unirioja.es
      Eliseo P. Vergara Gonzalez.        
     eliseo.vergara@dim.unirioja.es
      Francisco Javier Martinez de Pisn.
     francisco.martinez@dim.unirioja.es
      Fernando Alba Elas.                fernando.alba@unavarra.es

_R_e_f_e_r_e_n_c_e_s:

     Simon Haykin. Neural Networks. A comprehensive foundation. 2nd
     Edition. 


_S_e_e _A_l_s_o:

     'train', 'train.compare'

