more docu

src/neuron.hxx

@@ -98,7 +98,7 @@
     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:
+    The output vector is then calculated as:
     O = I × H<sub>1</sub> × H<sub>2</sub> × H<sub>…</sub> × H<sub>l+1</sub>
 
     @code
@@ -106,10 +106,10 @@
     const size_type o(2);
     NeuroNet<double, i, o> net;
     Matrix<1, i> input(1.0, 2.0, 0.0, -1.0);
-    Matrix<1, o> output = net.propagate(input);
+    Matrix<1, o> output = net(input);
     @endcode
     
-    @section beuro-backward Back Propagation
+    @section neuro-backward Back Propagation
     
 
     */