var_usg.c

快速傅立叶变换程序代码,学信号的同学,可要注意了

  DNT; fprintf( fp, "-nnn n <%d>                   (number to train on  )", nc->train_n);
  DNT; fprintf( fp, "-nnin nninfile                (weights from (instead of default))", nc->infile);
  DNT; fprintf( fp, "-nninit rule <%d>             (how to init wts     )", nc->init_rule);
  DNT; fprintf( fp, "-nntrain train <%d>           (whether to train    )", nc->train);
  DNT; fprintf( fp, "-nnread read <%d>             (whether to read wts )", nc->read);
  DNT; fprintf( fp, "-nnr report <%d>              (reporting style     )", nc->report);
  DNT; fprintf( fp, "-nnv verbose <%d>             (verbosity 0/1/2     )", nc->verbose);
  DNT; fprintf( fp, "-nnn n <%d>                   (training number     )", nc->train_n);
  DNT; fprintf( fp, "-nnwseed wseed <%ld>          (weight randomization)", nc->wseed);
  DNT; fprintf( fp, "-nntrseed trseed <%ld>        (defines training set)", nc->trseed);
  DNT; fprintf( fp, "-nnteseed teseed <%ld>        (test set            )", nc->teseed);
  DNT; fprintf( fp, "-nnwriteit writeit <%d>       (undefined           )", nc->writeit);
  DNT; fprintf( fp, "-nndef_w def_w <%9.3g>        (default initial weight)", nc->def_w);
  DNT; fprintf( fp, "-nndef_b def_b <%9.3g>        (default initial bias)", nc->def_b);
  DNT; fprintf( fp, "-nnsigmaw0 sigma <%9.3g>      (initial random wts  )", nc->sigma_w0);
  DNT; fprintf( fp, "-nnregularize - <%d>          (to regularize       )", nc->regularize);
  DNT; fprintf( fp, "-nnitmax itmax <%d>           (max no line searches)", nc->itmax);
  DNT; fprintf( fp, "-nntolmin tolmin <%9.3g>      (final tolerance in training)", nc->tolmin);
  DNT; fprintf( fp, "-nntol0 tol0 <%9.3g>          (initial tolerance in training)", nc->tol0);
  DNT; fprintf( fp, "-nnrich rich <%d>             (expensive optimizer?)", nc->rich);
  DNT; fprintf( fp, "-nneos eos <%d>               (termination condition is that step is small)", nc->end_on_step);
  DNT; fprintf( fp, "-nneps epsilon <%9.3g>        (epsilon for check gradient)", nc->epsilon);
  DNT; fprintf( fp, "-nnevalH evalH <%d>           (evaluate hard performance measures)", nc->evalH);
  DNT; fprintf( fp, "-nnsw1 sw1 <%9.3g>            (regularization of bias)", nc->alpha[1]);
  DNT; fprintf( fp, "-nnsw2 sw2 <%9.3g>            (regularization of inps)", nc->alpha[2]);