Ejemplo n.º 1
0
        public void ARIMA_Test02()
        {
            Console.WriteLine("ARIMA Math");
            int            q  = 1;
            ARMAFoundation am = new ARMAFoundation();

            var dataArray = new double[] { 136, 144, 167, 162, 160, 153, 147, 146, 148, 150,
                                           156, 168, 172, 150, 28, 12, 17, 1, 2, 13, 150, 149,
                                           149, 154, 165, 165, 152, 156, 151, 151, 155, 165,
                                           165, 149, 148, 146, 148, 151, 162, 176, 180, 151, 150, 155, 155, 168 };

            var coefs = am.computeMACoe(dataArray, q);

            foreach (var c in coefs)
            {
                Console.WriteLine($"coeff: {c}");
            }

            int p      = 2;
            var coefs1 = am.computeARCoe(dataArray, p);

            foreach (var c in coefs1)
            {
                Console.WriteLine($"coeff: {c}");
            }
        }
Ejemplo n.º 2
0
        public void ARIMA_Test00()
        {
            Console.WriteLine("ARIMA Math");
            int            q  = 1;
            ARMAFoundation am = new ARMAFoundation();

            var dataArray = new double[] { 136, 144, 167, 162, 160, 153, 147, 146, 148, 150,
                                           156, 168, 172, 150, 28, 12, 17, 1, 2, 13, 150, 149,
                                           149, 154, 165, 165, 152, 156, 151, 151, 155, 165,
                                           165, 149, 148, 146, 148, 151, 162, 176, 180, 151, 150, 155, 155, 168 };

            ARIMAModel arima    = new ARIMAModel(dataArray);
            int        period   = 7;
            int        modelCnt = 5;
            int        cnt      = 0;
            var        list     = new List <int[]>();

            int[] tmpPredict = new int[modelCnt];

            for (int k = 0; k < modelCnt; ++k)             //Control how many sets of parameters are used to calculate the final result
            {
                var bestModel = arima.getARIMAModel(period, list, (k == 0) ? false : true);

                Console.Write(bestModel.Length);
                Console.Write("\n");

                if (bestModel.Length == 0)
                {
                    tmpPredict[k] = (int)dataArray[dataArray.Length - period];
                    cnt++;
                    break;
                }
                else
                {
                    Console.Write(bestModel[0]);
                    Console.Write(bestModel[1]);
                    Console.Write("\n");
                    int predictDiff = arima.predictValue(bestModel[0], bestModel[1], period);
                    Console.Write("--");
                    Console.Write("\n");
                    tmpPredict[k] = arima.aftDeal(predictDiff, period);
                    cnt++;
                }
                Console.Write(bestModel[0]);
                Console.Write(" ");
                Console.Write(bestModel[1]);
                Console.Write("\n");
                list.Add(bestModel);
            }

            double sumPredict = 0.0;

            for (int k = 0; k < cnt; ++k)
            {
                sumPredict += ((double)tmpPredict[k]) / (double)cnt;
            }
            int predict = (int)Math.Round(sumPredict);

            Console.Write("Predict value=");
            Console.Write(predict);
            Console.Write("\n");
        }