[PD-cvs] externals/ann/helps ann_mlp-manual.txt,1.2,1.3

dmorelli morellid at users.sourceforge.net
Thu May 19 18:42:19 CEST 2005


Update of /cvsroot/pure-data/externals/ann/helps
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv28670

Modified Files:
	ann_mlp-manual.txt 
Log Message:
correcting typos

Index: ann_mlp-manual.txt
===================================================================
RCS file: /cvsroot/pure-data/externals/ann/helps/ann_mlp-manual.txt,v
retrieving revision 1.2
retrieving revision 1.3
diff -C2 -d -r1.2 -r1.3
*** ann_mlp-manual.txt	19 May 2005 15:02:12 -0000	1.2
--- ann_mlp-manual.txt	19 May 2005 16:42:17 -0000	1.3
***************
*** 50,54 ****
  Notice ann/examples/ann_mlp_example2:
  "Calm" and "chaos" have their outputs even if they are related.
! I could have set only 1 output = for calm and 1 for chaos.
  But having separated outputs I can see if my ANN has been trained well or
  not, but also could be that a situation is neither calm nor chaotic, or
--- 50,54 ----
  Notice ann/examples/ann_mlp_example2:
  "Calm" and "chaos" have their outputs even if they are related.
! I could have set only 1 output 0 for calm and 1 for chaos.
  But having separated outputs I can see if my ANN has been trained well or
  not, but also could be that a situation is neither calm nor chaotic, or
***************
*** 58,63 ****
  It is much easier to train the ANN on the fly rather than using a train
  file.
! To train on the fly you simply must pass a list with [inputs + expected
! outputs(
  If you have 3 inputs and 2 outputs then you must pass a list with 5 floats
  E.g. You want to train a ANN for a simple logical function: OR
--- 58,63 ----
  It is much easier to train the ANN on the fly rather than using a train
  file.
! To train on the fly you simply must pass a list with 
! [inputs + expected outputs(
  If you have 3 inputs and 2 outputs then you must pass a list with 5 floats
  E.g. You want to train a ANN for a simple logical function: OR
***************
*** 70,74 ****
  And so on.. Repeating until MSE is low enough
  
! MSE tells you the general error the ANN currently have with the inputs and
  outputs you are giving
  
--- 70,74 ----
  And so on.. Repeating until MSE is low enough
  
! MSE tells you the general error the ANN currently has with the inputs and
  outputs you are giving
  
***************
*** 81,85 ****
  list with only 1 float
  
! -----------PUTTING ALL TOGETHER:
  
  1) Create a ANN passing ann_mlp a message with num_inputs and num_outputs
--- 81,85 ----
  list with only 1 float
  
! -----------PUTTING IT TOGETHER:
  
  1) Create a ANN passing ann_mlp a message with num_inputs and num_outputs
***************
*** 98,102 ****
  |
  [ann_mlp]
! (repeat at will using different inputs until mse is low - right outlet)
  
  4) set run mode
--- 98,102 ----
  |
  [ann_mlp]
! (repeat at will using different inputs until mse is low, see right outlet)
  
  4) set run mode
***************
*** 129,134 ****
  For a more in-depth sight over technical issues:
  http://fann.sourceforge.net/report/report.html
! See fann manual for details on advanced params (activation functions,
! training params, etc..)
  http://fann.sourceforge.net/
  
--- 129,134 ----
  For a more in-depth sight over technical issues:
  http://fann.sourceforge.net/report/report.html
! See fann manual for details on advanced params 
! (activation functions,training params, etc..)
  http://fann.sourceforge.net/
  





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