The network class will simply facilitate the input and output buffers, memory

management, and probably contain the parsing code a little later on.


git-svn-id: http://svn.xagasoft.com/misc/libneural/trunk@472 d8baa203-390c-0410-a584-dba4c0749223

1 files changed, 10 insertions, 5 deletions

diff --git a/src/column.h b/src/column.h
index 17ba899..8c07f62 100644
--- a/src/column.h
+++ b/src/column.h
@@ -40,14 +40,19 @@ namespace Neural
 
                 virtual void process( sigtype *aInput, sigtype *aOutput )
                 {
-
-                        sigtype *pInput, *pOutput;
-                        int iOutputOffset = 0;
+                        typename BufferList::iterator iBuf = lBuffer.begin();
+                        sigtype *pBuffer = aInput;
+                        sigtype *pNextBuffer = *iBuf;
                         for( typename Container<sigtype>::NodeList::iterator i =
                                 Container<sigtype>::getNodeList().begin(); i; i++ )
                         {
-                                (*i)->process( aInput, aOutput+iOutputOffset );
-                                iOutputOffset += (*i)->getNumOutputs();
+                                (*i)->process( pBuffer, pNextBuffer );
+                                pBuffer = pNextBuffer;
+                                iBuf++;
+                                if( iBuf )
+                                        pNextBuffer = *iBuf;
+                                else
+                                        pNextBuffer = aOutput;
                         }
                 }