externals/ann/src ann_mlp.c,1.12,1.13 ann_td.c,1.9,1.10 - Pd-cvs

31 Oct 2007


      Update of /cvsroot/pure-data/externals/ann/src
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv30152/src
Modified Files:
    ann_mlp.c ann_td.c 
Log Message:
added note on fann version to be used
Index: ann_mlp.c
===================================================================
RCS file: /cvsroot/pure-data/externals/ann/src/ann_mlp.c,v
retrieving revision 1.12
retrieving revision 1.13
diff -C2 -d -r1.12 -r1.13
*** ann_mlp.c	29 Dec 2006 17:39:56 -0000	1.12
--- ann_mlp.c	31 Oct 2007 10:24:27 -0000	1.13
***************
*** 1,751 ****
! /*	nn : Neural Networks for PD
! 	by Davide Morelli - info@davidemorelli.it - http://www.davidemorelli.it
! 	this software is simply an interface for FANN classes
! 	http://fann.sourceforge.net/
! 	FANN is obviously needed for compilation
! 	this software is licensed under the GNU General Public License
! */
! 
! /*
!   hacked by Georg Holzmann for some additional methods, bug fixes, ...
[...1474 lines suppressed...]
!   class_addmethod(ann_mlp_class, (t_method)ann_mlp_learnrate, gensym("learnrate"), A_FLOAT, 0);
! 
! 	// change training  and activation algorithms
! 	class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_FANN_TRAIN_INCREMENTAL, gensym("FANN_TRAIN_INCREMENTAL"), 0);
! 	class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_FANN_TRAIN_BATCH, gensym("FANN_TRAIN_BATCH"), 0);
! 	class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_FANN_TRAIN_RPROP, gensym("FANN_TRAIN_RPROP"), 0);
! 	class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_FANN_TRAIN_QUICKPROP, gensym("FANN_TRAIN_QUICKPROP"), 0);
! 	class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_activation_function_output, gensym("set_activation_function_output"),A_GIMME, 0);
!   class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_activation_function_hidden, gensym("set_activation_function_hidden"),A_GIMME, 0);
!   class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_activation_steepness_hidden, gensym("set_activation_steepness_hidden"), A_FLOAT, 0);
!   class_addmethod(ann_mlp_class, (t_method)ann_mlp_set_activation_steepness_output, gensym("set_activation_steepness_output"), A_FLOAT, 0);
! 	
!   // initialization:
!   class_addmethod(ann_mlp_class, (t_method)ann_mlp_randomize_weights, gensym("randomize_weights"),A_GIMME, 0);
!   
! 	// the most important one: running the ann
! 	class_addlist(ann_mlp_class, (t_method)ann_mlp_manage_list);
! 
! 
! }
Index: ann_td.c
===================================================================
RCS file: /cvsroot/pure-data/externals/ann/src/ann_td.c,v
retrieving revision 1.9
retrieving revision 1.10
diff -C2 -d -r1.9 -r1.10
*** ann_td.c	29 Dec 2006 17:39:56 -0000	1.9
--- ann_td.c	31 Oct 2007 10:24:27 -0000	1.10
***************
*** 1,662 ****
! /*	ann_td : Time Delay Neural Networks for PD
! 	by Davide Morelli - info@davidemorelli.it - http://www.davidemorelli.it
! 	this software is simply an interface for FANN classes
! 	http://fann.sourceforge.net/
! 	FANN is obviously needed for compilation
! 	this software is licensed under the GNU General Public License
! */
! #include <stdio.h>
! #include <string.h>
! #include "m_pd.h"
[...1296 lines suppressed...]
! 	
! 	// change training parameters
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_desired_error, gensym("desired_error"),A_GIMME, 0);
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_max_iterations, gensym("max_iterations"),A_GIMME, 0);
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_iterations_between_reports, gensym("iterations_between_reports"),A_GIMME, 0);
! 
! 	// change training  and activation algorithms
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_FANN_TRAIN_INCREMENTAL, gensym("FANN_TRAIN_INCREMENTAL"), 0);
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_FANN_TRAIN_BATCH, gensym("FANN_TRAIN_BATCH"), 0);
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_FANN_TRAIN_RPROP, gensym("FANN_TRAIN_RPROP"), 0);
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_FANN_TRAIN_QUICKPROP, gensym("FANN_TRAIN_QUICKPROP"), 0);
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_activation_function_output, gensym("set_activation_function_output"),A_GIMME, 0);
! 	
! 	class_addmethod(ann_td_class, (t_method)ann_td_set_num_input_frames, gensym("inputs_frames"),A_DEFFLOAT, A_DEFFLOAT, 0);
! 	
! 	// the most important one: running the ann
! 	class_addlist(ann_td_class, (t_method)ann_td_manage_list);
! 
! 
! }