initial version

src/libneuron.pc.in

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+## @id $Id$
+##
+## This file has been added:
+##  - by bootstrap.sh
+##  -  on Wed, 24 August 2016 09:50:21 +0200
+## Feel free to change it or even remove and rebuild it, up to your needs
+##
+##       1         2         3         4         5         6         7         8
+## 45678901234567890123456789012345678901234567890123456789012345678901234567890
+
+prefix=@prefix@
+exec_prefix=@exec_prefix@
+libdir=${exec_prefix}/lib
+includedir=${prefix}/include
+translationsdir=@datadir@/@PACKAGE_NAME@/translations
+
+Name: @PACKAGE_NAME@
+Description: @DESCRIPTION@
+Version: @VERSION@
+Libs: -L${libdir} -lneuron @LDFLAGS@
+Cflags: -I${includedir} @CPPFLAGS@

src/makefile.am

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+## @id $Id$
+##
+## This file has been added:
+##  - by bootstrap.sh
+##  -  on Wed, 24 August 2016 09:50:21 +0200
+## Feel free to change it or even remove and rebuild it, up to your needs
+##
+##       1         2         3         4         5         6         7         8
+## 45678901234567890123456789012345678901234567890123456789012345678901234567890
+
+lib_LTLIBRARIES = libneuron.la
+include_HEADERS = neuron.hxx
+
+libneuron_la_SOURCES = version.cxx
+
+MAINTAINERCLEANFILES = makefile.in

src/neuron.hxx

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+/*! @file
+
+    @id $Id$
+*/
+//       1         2         3         4         5         6         7         8
+// 45678901234567890123456789012345678901234567890123456789012345678901234567890
+
+/** @page neronet Neural Network with Hidden Layers
+
+    @section neuro-intro Overview
+
+    A complex neural network can be imitiated as a vector @c I of @c i
+    input values, a vector @c O of @c o output values and any number
+    @c l of hidden layers, where each of them contains @c h
+    neurons.
+
+    A neural network with double precision is inistialized as:
+    @code
+    NeuroNet<double, i, o, l+1, h> net;
+    @endcode
+
+    @dot
+    digraph g {
+      rankdir=LR;
+      ranksep=1.5;
+      subgraph clusterInput {
+        label="Input Layer";
+        I1 [label=<I<SUB>1</SUB>>];
+        I2 [label=<I<SUB>2</SUB>>];
+        Ix [label=<I<SUB>…</SUB>>];
+        Ii [label=<I<SUB>i</SUB>>];
+      }
+      subgraph clusterHidden1 {
+        label="First Hidden Layer";
+        H11 [label=<H<SUB>11</SUB>>];
+        H12 [label=<H<SUB>12</SUB>>];
+        H1x [label=<H<SUB>1…</SUB>>];
+        H1h [label=<H<SUB>1h</SUB>>];
+      }
+      subgraph clusterHidden2 {
+        label="Second Hidden Layer";
+        H21 [label=<H<SUB>21</SUB>>];
+        H22 [label=<H<SUB>22</SUB>>];
+        H2x [label=<H<SUB>2…</SUB>>];
+        H2h [label=<H<SUB>2h</SUB>>];
+      }
+      subgraph clusterHiddenx {
+        label="More Hidden Layers";
+        Hx1 [label=<H<SUB>…1</SUB>>];
+        Hx2 [label=<H<SUB>…2</SUB>>];
+        Hxx [label=<H<SUB>……</SUB>>];
+        Hxh [label=<H<SUB>…h</SUB>>];
+      }
+      subgraph clusterHiddenl {
+        label="Last Hidden Layer";
+        Hl1 [label=<H<SUB>l1</SUB>>];
+        Hl2 [label=<H<SUB>l2</SUB>>];
+        Hlx [label=<H<SUB>l…</SUB>>];
+        Hlh [label=<H<SUB>lh</SUB>>];
+      }
+      subgraph clusterOutput {
+        label="Output Layer";
+        O1 [label=<O<SUB>1</SUB>>];
+        O2 [label=<O<SUB>2</SUB>>];
+        Ox [label=<O<SUB>…</SUB>>];
+        Oo [label=<O<SUB>o</SUB>>];
+      }
+      I1 -> { H11; H12; H1x; H1h; }
+      I2 -> { H11; H12; H1x; H1h; }
+      Ix -> { H11; H12; H1x; H1h; }
+      Ii -> { H11; H12; H1x; H1h; }
+      H11 -> { H21; H22; H2x; H2h; }
+      H12 -> { H21; H22; H2x; H2h; }
+      H1x -> { H21; H22; H2x; H2h; }
+      H1h -> { H21; H22; H2x; H2h; }
+      H21 -> { Hx1; Hx2; Hxx; Hxh; }
+      H22 -> { Hx1; Hx2; Hxx; Hxh; }
+      H2x -> { Hx1; Hx2; Hxx; Hxh; }
+      H2h -> { Hx1; Hx2; Hxx; Hxh; }
+      Hx1 -> { Hl1; Hl2; Hlx; Hlh; }
+      Hx2 -> { Hl1; Hl2; Hlx; Hlh; }
+      Hxx -> { Hl1; Hl2; Hlx; Hlh; }
+      Hxh -> { Hl1; Hl2; Hlx; Hlh; }
+      Hl1 -> { O1; O2; Ox; Oo; }
+      Hl2 -> { O1; O2; Ox; Oo; }
+      Hlx -> { O1; O2; Ox; Oo; }
+      Hlh -> { O1; O2; Ox; Oo; }
+    }
+    @enddot
+
+    @section neuro-forward Forward Propagation
+    
+    The connections between two layers can be modelled as a
+    Matrix. Then Matrix H<sub>1</sub> contains the weights from @c I
+    to the first hidden layer, @c H<sub>2</sub> from the first to the
+    second, and so on, until @c H<sub>l+1</sub> contains the weights
+    from layer @c l to the output @c O.
+    
+    The output vector is then calculatd as:
+    O = I × H<sub>1</sub> × H<sub>2</sub> × H<sub>…</sub> × H<sub>l+1</sub>
+    
+    @section beuro-backward Back Propagation
+    
+
+    */
+template
+    <typename TYPE,
+    size_t INPUT_LAYERS,
+    size_t OUTPUT_LAYERS,
+    size_t HIDDEN_LAYERS = INPUT_LAYERS+OUTPUT_LAYERS,
+    size_t HIDDEN_LAYER_SIZE = INPUT_LAYERS+OUTPUT_LAYERS>
+class NeuroNet {
+};

src/version.cxx

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+/*! @file
+
+    @id $
+*/
+//       1         2         3         4         5         6         7         8
+// 45678901234567890123456789012345678901234567890123456789012345678901234567890
+
+#include <string>
+
+namespace NAMESPACE {
+  std::string package_string() {
+    return PACKAGE_STRING;
+  }
+  std::string package_name() {
+    return PACKAGE_NAME;
+  }
+  std::string version() {
+    return PACKAGE_VERSION;
+  }
+  std::string build_date() {
+    return BUILD_DATE;
+  }
+  std::string author() {
+    return AUTHOR;
+  }
+  std::string description() {
+    return DESCRIPTION;
+  }
+  std::string readme() {
+    return README;
+  }
+  std::string logo() {
+    return PACKAGE_LOGO;
+  }
+  std::string icon() {
+    return PACKAGE_ICON;
+  }
+  const std::string WHAT("#(@) " PACKAGE_STRING);
+  const std::string IDENT("$Id: " PACKAGE_STRING);
+}

src/version.hxx

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+/*! @file
+
+    @id $Id$
+*/
+//       1         2         3         4         5         6         7         8
+// 45678901234567890123456789012345678901234567890123456789012345678901234567890
+
+#include <string>
+
+namespace NAMESPACE {
+  /// get package string which consists of package name and package version
+  std::string package_string();
+  /// get package name
+  std::string package_name();
+  /// get package version
+  std::string version();
+  /// get code build date
+  std::string build_date();
+  /// get author, i.e. copyright holder
+  std::string author();
+  /// get short package description (1st line of README)
+  std::string description();
+  /// get long package description (starting at 3rd line in README)
+  std::string readme();
+  /// get package logo file name
+  std::string logo();
+  /// get package icon file name
+  std::string icon();
+  /// used for <code>what filename</code>
+  extern const std::string WHAT;
+  /// used for <code>ident filename</code>
+  extern const std::string IDENT;
+}