The WASO is newly designed by integrating the Water Wave Optimization (WWO) algorithm and Atom Search Optimization (ASO) characteristics. Thus, the proposed WASO-based DeepRNN method effectively classifies big data using reduced dimension features to produce satisfactory results.

This so-called embedded atom neural network (EANN) approach is inspired by the well-known empirical embedded atom method (EAM) model used in condensed phase. It simply replaces the scalar embedded atom density in EAM with a Gaussian-type orbital based density vector, and represents...