40 lines
1.9 KiB
C
40 lines
1.9 KiB
C
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#ifndef AIC_H
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#define AIC_H
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#include "Estimation.h"
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#include <vector>
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using namespace std;
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// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> Estimation.
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// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD> "<22><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>"
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class Aic : public Estimation {
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private:
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static double getMinValue(vector<double> AicWeights); // <20><><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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//For fuzzy adoptive weights calculate
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//Delta koeff
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static double delta;
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static double N;
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static double relativeError(double value, double forecastedValue);
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static double forecastedTendency(vector<double> realSeria);
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static double grayTendency(double forecastedTendency, vector<double> timeSeria, vector<vector<double>> forecastedSeries);
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static double grayBasicWeight(double relativeError, vector<double> timeSeria, vector<vector<double>> forecastedSeries);
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static double adaptiveControlCoefficient(int i);
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static double beta(vector<double> timeSeria, vector<vector<double>> forecastedSeries);
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static double alpha(vector<double> timeSeria, vector<vector<double>> forecastedSeries);
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public:
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Aic();
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~Aic();
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static int getParamsCount(vector<double> model);
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static double logLikNLS(vector<double> model, vector<double> weights);
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static double logLikLM(vector<double> model, vector<double> weights);
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static vector<double> calculateWeights(vector<double> AicWeights); //<2F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>
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static vector<double> calculateFuzzyAdaptiveWeights(vector<double> timeSeria, vector<vector<double>> forecastedSeries); //<2F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>
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double getBicValue(int paramsCount, vector<double> original, vector<double> model);
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double getAiccValue(int paramsCount, vector<double> original, vector<double> model);
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double getValue(int paramsCount,// int tsLen, bool isSecondOrder,
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vector<double> original, vector<double> model); //<2F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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double getValue(// int tsLen, bool isSecondOrder,
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vector<double> original, vector<double> model); //<2F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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};
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#endif
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