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Table 2 Performance variation of conventional ELM based SLFN with different input size and hidden neurons on volatility forecasting

From: Extreme learning with chemical reaction optimization for stock volatility prediction

Experiment No.Input Size (n)Hidden Neuron (Nh)MAPE (Training)MAPE (Testing)Training Time (Sec)
18150.0738250.08405846.6312
212180.0500020.05507257.0700
37140.0492880.06095646.5883
48220.1000550.18507268.2664
510190.0582260.06376847.2374
66160.0320060.03650758.1268
715120.0506510.05072346.6685
820150.7008430.07942056.6251
91080.6155820.64005836.5455
106250.0793880.08028949.7146