grnn_Train               package:grnnR               R Documentation

_S_y_n_t_h_e_s_i_z_e _a _G_R_N_N

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

     synthesize a grnn using the training dataset

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

     grnn_Train(P, T, SIGMA_flag = 1, SIGMA_inp = 1)

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

       P: matrix of pattern vectors

       T: matrix of target vectors

SIGMA_flag: select empirical spread or user supplied

SIGMA_inp: user supplied Gaussian spread value

_D_e_t_a_i_l_s:

     a call is made to the function compute SIGMA for SIGMA flag=1,
     else uses the spread value supplied in SIGMA inp

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

       C: matrix of center vectors

       W: matrix of weight vectors

   SIGMA: Gaussian spread value

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

     Arnold Arrington

