Swarming morlet wavelet neural network procedures for the mathematical robot system

Singkibud, peerapongpat and Sabir, Zulqurnain and Fathurrochman, Irwan and Alhazmi, Sharifah and Ali, Mohamed R (2022) Swarming morlet wavelet neural network procedures for the mathematical robot system. Sciencedirect, 33.

	Text S2352914822002179 - Published Version Download (94kB)
	Text Turnitin-Swarming morlet wavelet.pdf - Supplemental Material Download (3MB)

Official URL: https://www.sciencedirect.com/science/article/pii/...

Abstract

The task of this work is to present the solutions of the mathematical robot system (MRS) to examine the positive coronavirus cases through the artificial intelligence (AI) based Morlet wavelet neural network (MWNN). The MRS is divided into two classes, infected and Robots . The design of the fitness function is presented by using the differential MRS and then optimized by the hybrid of the global swarming computational particle swarm optimization (PSO) and local active set procedure (ASP). For the exactness of the AI based MWNN-PSOIPS, the comparison of the results is presented by using the proposed and reference solutions. The reliability of the MWNN-PSOASP is authenticated by extending the data into 20 trials to check the performance of the scheme by using the statistical operators with 10 hidden numbers of neurons to solve the MRS.

Item Type:

Article

Creators:

Creators	Email
Singkibud, peerapongpat	UNSPECIFIED
Sabir, Zulqurnain	UNSPECIFIED
Fathurrochman, Irwan	irwan@iaincurup.ac.id
Alhazmi, Sharifah	UNSPECIFIED
Ali, Mohamed R	UNSPECIFIED