Binary Bitwise Artificial Bee Colony as Feature Selection Optimization Approach within Taguchi’s T-Method

<div>(a) MAE for the training and testing phase between Bitwise ABC and PBPSO for the heating load case study; (b) SNR (dB) trend between Bitwise ABC and PBPSO for the heating load case study.</div>

Mathematical Problems in Engineering

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Figure 2

Figure 2: Binary Bitwise Artificial Bee Colony as Feature Selection Optimization Approach within Taguchi’s T-Method 