Everything is in place except for columns, networks, and a cute language for

describing the networks.  ...and tests, don't forget about tests.


git-svn-id: http://svn.xagasoft.com/misc/libneural/trunk@470 d8baa203-390c-0410-a584-dba4c0749223

1 files changed, 71 insertions, 0 deletions

diff --git a/src/neuron.h b/src/neuron.h
new file mode 100644
index 0000000..dc30471
--- /dev/null
+++ b/src/neuron.h
@@ -0,0 +1,71 @@
+#ifndef NEURAL_NEURON_H
+#define NEURAL_NEURON_H
+
+#include "neural/node.h"
+#include "neural/slope.h"
+
+namespace Neural
+{
+        template<typename sigtype>
+        class Neuron : public Node<sigtype>
+        {
+        public:
+                Neuron() :
+                        iInputs( 0 ),
+                        aWeights( 0 ),
+                        sBias( 0.0 ),
+                        pSlope( 0 )
+                {
+                }
+
+                virtual ~Neuron()
+                {
+                        delete[] aWeights;
+                        delete pSlope;
+                }
+
+                virtual void finalize( int iNumInputs )
+                {
+                        iInputs = iNumInputs;
+                        aWeights = new sigtype[iInputs];
+                }
+
+                virtual void process( sigtype *aInput, sigtype *aOutput )
+                {
+                        sigtype sOutput = sBias;
+                        for( int j = 0; j < iInputs; j++ )
+                        {
+                                sOutput += aWeights[j] * aInput[j];
+                        }
+                        *aOutput = (*pSlope)( sOutput );
+                }
+
+                virtual int getNumInputs() const
+                {
+                        return iInputs;
+                }
+
+                virtual int getNumOutputs() const
+                {
+                        return 1;
+                }
+
+                virtual int getNumWeights() const
+                {
+                        return iInputs;
+                }
+
+                virtual int getNumBiases() const
+                {
+                        return 1;
+                }
+
+        private:
+                int iInputs;
+                sigtype *aWeights;
+                sigtype sBias;
+                Slope<sigtype> *pSlope;
+        };
+};
+
+#endif