Protein Sequence Classification with Improved Extreme Learning Machine Algorithms

Algorithm 3

V-ELM.

Given:

   Protein sequence dataset 𝒜; number of ensembles K

(1) Randomly generate K sets of hidden node parameters, train

   each SLFN via ELM and obtain the corresponding output weight matrix;

(2) For each testing protein sequence 𝐱^test, obtain the estimated

   category indexes for all K SLFNs constructed in Step  1, update (6);

(3) Decide the class label of 𝐱^test via (7).