rbf                  package:neural                  R Documentation

_R_B_F _n_e_u_r_a_l _n_e_t_w_o_r_k

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

     The recalling method of the RBF network which was trained by the
     rbftrain function.

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

      rbf(inp,weight,dist,neurons,sigma, ...)

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

     inp: a matrix that contains one input data in each row.

  weight: the weights of the network.

    dist: the distortion of the network.

 neurons: a numeric vector with length equals to the number of layers
          in the network, and the ith layer will contains neurons[i]
          neuron.

   sigma: the sigma parameters of the network.

     ...: currently not used.

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

     the last four argument can be produce by the rbftrain algorithm.

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

     a matrix that contains the response data of the network in each
     row.

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

     `rbftrain' for training an RBF network, `mlp' and `mlptrain' for
     classification.

