HYBRID CLONAL ALGORITHM USING HYBRID DEEP LEARNING AUGMENTED WITH CA

Abstract

This article uses the basic framework of Hybrid Deep Learning Mechanism (DLM) to build a potential, versatile and robust classifier which can be applied to the diverse fields like bioinformatics, networks, image processing, compression and information retrieval. Detailed studies of various types of DLM and some classes of DLM referred to as MADLM (Multiple Attractor DLM), GMADLM (General Multiple Attractor DLM) and FMADLM (Fuzzy Multiple Attractor DLM) were presented with their possible applications. This article concentrates in projecting H-DL-MACA as a potential classification tool for specific applications in the domain of bioinformatics and network security.