In this paper, through extension of the present methods and based on error minimization,
two fast and efficient layer-by-layer pre-training methods are proposed for initializing deep …

The supervised learning of recurrent neural networks well-suited for prediction of protein
secondary structures from the underlying amino acids sequence is studied. Modular …

Precise prediction of protein secondary structures from the associated amino acids
sequence is of great importance in bioinformatics and yet a challenging task for machine …

Predicting the secondary structure of proteins continues to be a significant hurdle in the field
of bioinformatics. This anticipation plays a crucial role as an intermediary stage in …

The prediction of protein secondary structure is a topic that has been tackled by many
researchers in the field of bioinformatics. In previous work, this problem has been solved by …