Exemplo n.º 1
0
        private void buttonLBToXnYe_Click(object sender, EventArgs e)
        {
            double Ye, Xn;
            double L = 0;

            double.TryParse(this.textBoxL.Text.Trim(), out L);
            double B = 0;

            double.TryParse(this.textBoxB.Text.Trim(), out B);
            LonWide lw    = (LonWide)int.Parse(this.comboBoxLonWide.SelectedValue.ToString());
            int     delno = int.Parse(this.textBoxDELNO.Text.Trim());

            this.m_CoordHelper.GaussPrjCalculate(L, B, lw, delno, out Ye, out Xn);
            this.textBoxYe.Text = Ye.ToString();
            this.textBoxXn.Text = Xn.ToString();
        }
A wide variety of machine learning methods have been applied to this problem, including Hidden Markov Models (Bikel et al. 1997), Maximum Entropy methods (Borthwick et al. 1998, Chieu and Ng 2002), Decision Trees (Sekine et al. 1998), Conditional Random Fields (McCallum and Li 2003), Class-based Language Model (Sun et al. 2002), Agent-based Approach (Ye et al. 2002) and Support Vector Machines.