From a59a43a3b7f61dcaa4120f8283cb62aef5727b7f Mon Sep 17 00:00:00 2001
From: mike <mike@d8baa203-390c-0410-a584-dba4c0749223>
Date: Sun, 17 Jul 2011 21:57:41 +0000
Subject: 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
---
 src/column.cpp  |  4 ++++
 src/column.h    | 15 ++++++++++-----
 src/network.cpp |  1 +
 src/network.h   | 29 +++++++++++++++++++++++++++++
 4 files changed, 44 insertions(+), 5 deletions(-)

diff --git a/src/column.cpp b/src/column.cpp
index 10b010b..881284e 100644
--- a/src/column.cpp
+++ b/src/column.cpp
@@ -1 +1,5 @@
 #include "neural/column.h"
+
+template class Neural::Column<float>;
+template class Neural::Column<double>;
+template class Neural::Column<long double>;
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;
 			}
 		}
 
diff --git a/src/network.cpp b/src/network.cpp
index e69de29..972c88d 100644
--- a/src/network.cpp
+++ b/src/network.cpp
@@ -0,0 +1 @@
+#include "neural/network.h"
diff --git a/src/network.h b/src/network.h
index e69de29..85d8407 100644
--- a/src/network.h
+++ b/src/network.h
@@ -0,0 +1,29 @@
+#ifndef NEURAL_NETWORK_H
+#define NEURAL_NETWORK_H
+
+#include "neural/node.h"
+
+namespace Neural
+{
+	template<typename sigtype>
+	class Network
+	{
+	public:
+		Network() :
+			pRoot( 0 )
+		{
+		}
+
+		virtual ~Network()
+		{
+			delete pRoot;
+		}
+
+
+
+	private:
+		Node<sigtype> *pRoot;
+	};
+};
+
+#endif
-- 
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