/// <summary>

         /// 神经网络聚类算法测试,本算法实现了将GF1_PMS1_E116.5_N39.4_20131127_L1A0000117600-MSS1.tiff进行神经网络聚类

         ///预期类数为5,分类方法为交互传播网络，窗口大小为1*1窗口，迭代次数为10000，收敛速率为100

         /// </summary>

         public override void OnClick()

         {

             #region 1、参数设置

             PIE.CommonAlgo.NeuralNetworkCluster_Exchange_Info info = new PIE.CommonAlgo.NeuralNetworkCluster_Exchange_Info();

             info.InputFilePath = @"D:\Data\GF1_PMS1_E116.5_N39.4_20131127_L1A0000117600-MSS1.tiff";

             info.OutputFilePath = @"D:\Data\ip_result3.tif";

             info.ClassNum = ;

             info.AlgType = ;

             info.Windowsize = ;

             info.Traintimes = ;

             info.Ispeed = ;

             info.FileTypeCode = "Gtiff";

             info.LowBands = new List<int> { , , ,  };

             PIE.SystemAlgo.ISystemAlgo algo = PIE.SystemAlgo.AlgoFactory.Instance().CreateAlgo("PIE.CommonAlgo.dll", "PIE.CommonAlgo.NeuralNetworkClusterAlgo");

             if (algo == null) return;

             #endregion

             //2、算法执行

             PIE.SystemAlgo.ISystemAlgoEvents algoEvents = algo as PIE.SystemAlgo.ISystemAlgoEvents;

             algo.Name = " 神经网络聚类";

             algo.Params = info;

             bool result = PIE.SystemAlgo.AlgoFactory.Instance().ExecuteAlgo(algo);

             //3、结果显示

             ILayer layer = PIE.Carto.LayerFactory.CreateDefaultLayer(@"D:\Data\ip_result3.tif");

             m_HookHelper.ActiveView.FocusMap.AddLayer(layer);           m_HookHelper.ActiveView.PartialRefresh(ViewDrawPhaseType.ViewAll);

         }