상속: IXmlSerializable
예제 #1
0
파일: Network.cs 프로젝트: notesjor/numl
        /// <summary>
        ///   Adds the Edge to the underlying graph.
        /// </summary>
        /// <param name="edge">Edge to add.</param>
        /// <returns></returns>
        public Edge AddEdge(Edge edge)
        {
            base.AddEdge(edge);

            return(edge);
        }
예제 #2
0
파일: Edge.cs 프로젝트: ChewyMoon/Cupcake
 /// <summary>Creates a new Edge.</summary>
 /// <param name="source">Source for the.</param>
 /// <param name="target">Target for the.</param>
 /// <returns>An Edge.</returns>
 public static Edge Create(Node source, Node target)
 {
     var e = new Edge { Source = source, Target = target };
     source.Out.Add(e);
     target.In.Add(e);
     return e;
 }
예제 #3
0
파일: Network.cs 프로젝트: zbxzc35/numl
        /// <summary>Defaults.</summary>
        /// <param name="d">The Descriptor to process.</param>
        /// <param name="x">The Vector to process.</param>
        /// <param name="y">The Vector to process.</param>
        /// <param name="activation">The activation.</param>
        /// <returns>A Network.</returns>
        public static Network Default(Descriptor d, Matrix x, Vector y, IFunction activation)
        {
            Network nn = new Network();
            // set output to number of choices of available
            // 1 if only two choices
            int distinct = y.Distinct().Count();
            int output   = distinct > 2 ? distinct : 1;
            // identity funciton for bias nodes
            IFunction ident = new Ident();

            // set number of hidden units to (Input + Hidden) * 2/3 as basic best guess.
            int hidden = (int)System.Math.Ceiling((decimal)(x.Cols + output) * 2m / 3m);

            // creating input nodes
            nn.In    = new Node[x.Cols + 1];
            nn.In[0] = new Node {
                Label = "B0", Activation = ident
            };
            for (int i = 1; i < x.Cols + 1; i++)
            {
                nn.In[i] = new Node {
                    Label = d.ColumnAt(i - 1), Activation = ident
                }
            }
            ;

            // creating hidden nodes
            Node[] h = new Node[hidden + 1];
            h[0] = new Node {
                Label = "B1", Activation = ident
            };
            for (int i = 1; i < hidden + 1; i++)
            {
                h[i] = new Node {
                    Label = String.Format("H{0}", i), Activation = activation
                }
            }
            ;

            // creating output nodes
            nn.Out = new Node[output];
            for (int i = 0; i < output; i++)
            {
                nn.Out[i] = new Node {
                    Label = GetLabel(i, d), Activation = activation
                }
            }
            ;

            // link input to hidden. Note: there are
            // no inputs to the hidden bias node
            for (int i = 1; i < h.Length; i++)
            {
                for (int j = 0; j < nn.In.Length; j++)
                {
                    Edge.Create(nn.In[j], h[i]);
                }
            }

            // link from hidden to output (full)
            for (int i = 0; i < nn.Out.Length; i++)
            {
                for (int j = 0; j < h.Length; j++)
                {
                    Edge.Create(h[j], nn.Out[i]);
                }
            }

            return(nn);
        }