Advances in Decision Sciences / 2009 / Article / Tab 15

Research Article

Modified Neural Network Algorithms for Predicting Trading Signals of Stock Market Indices

Table 15

Results obtained from training neural network, 𝐍 𝐍 𝐓 𝐂 𝐂 with different number of hidden neurons.

Input setNo. of hidden neuronsAverage π‘Ÿ 𝐢 𝐴 Average π‘Ÿ 𝐸 2 Average π‘Ÿ 𝐸 1

GFFG165.570.4433.99
266.670.4432.89
364.470.4435.09
465.570.2234.21
565.130.2234.65
664.910.2234.87

GFFGA164.690.2235.09
264.910.2234.87
365.130.0034.87
465.130.2234.35
564.130.2234.65
665.570.2234.21

GFFG-q164.910.2234.87
266.230.0033.77
365.570.0034.43
465.790.2233.99
565.130.2234.65
666.230.2233.55

GFFGA-q165.570.2234.21
263.820.2235.96
364.910.0035.09
463.820.2235.96
564.690.2235.09
664.470.0035.53

GFFG-sq165.130.4434.43
264.250.4435.31
364.910.4434.65
464.470.4435.09
564.690.4434.87
664.690.4434.87

GFFGA-sq164.690.2235.09
264.690.2235.09
364.690.2235.09
464.910.2234.87
564.910.2234.87
664.690.2235.09

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