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, 55 insertions, 0 deletions

diff --git a/src/slopestd.h b/src/slopestd.h
new file mode 100644
index 0000000..40ceef2
--- /dev/null
+++ b/src/slopestd.h
@@ -0,0 +1,55 @@
+#ifndef NEURAL_SLOPE_STD_H
+#define NEURAL_SLOPE_STD_H
+
+#include <math.h>
+
+#include "neural/slope.h"
+
+namespace Neural
+{
+        template<typename sigtype>
+        sigtype tpltanh( sigtype sInput );
+
+        template<>
+        float tpltanh<float>( float sInput )
+        {
+                return tanhf( sInput );
+        }
+
+        template<>
+        double tpltanh<double>( double sInput )
+        {
+                return tanh( sInput );
+        }
+
+        template<>
+        long double tpltanh<long double>( long double sInput )
+        {
+                return tanhl( sInput );
+        }
+
+        template<typename sigtype>
+        class SlopeStd : public Slope<sigtype>
+        {
+        public:
+                SlopeStd( sigtype sSlope=1.0 ) :
+                        sSlope( sSlope )
+                {
+                }
+
+                virtual ~SlopeStd()
+                {
+                }
+
+                virtual sigtype operator()( sigtype sInput )
+                {
+                        return (tpltanh<sigtype>(2.0*sSlope*sInput) + 1.0)/2.0;
+                }
+
+        private:
+                sigtype sSlope;
+        };
+};
+
+#endif
+