Shehab Abdulhabib Saeed Alzaeemi

Work place: School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia



Research Interests: Computer systems and computational processes, Neural Networks, Data Mining, Data Structures and Algorithms, Logic Calculi, Programming Language Theory, Logic Circuit Theory


Shehab Abdulhabib Alzaeemi received his Bachelor's Degree in Mathematics Science from Taiz University in 2003-2004 and his Master of Applied Mathematics Science from Universiti Sains Malaysia in 2016-2017 and now I continue in Ph.D. research in Universiti Sains Malaysia. He is fellow under the Academic Staff System in Sana'a Community College from 2005-2014. His research interests mainly focus on data mining, logic programming and neural network.

Author Articles
Agent-based Modeling in doing Logic Programming in Fuzzy Hopfield Neural Network

By Shehab Abdulhabib Saeed Alzaeemi Saratha Sathasivam Muraly Velavan

DOI:, Pub. Date: 8 Apr. 2021

This paper introduces a new approach to enhance performance in performing logic programming in the Hopfield neural network by using agent-based modeling. Hopfield networks have been broadly utilized to solve problems of combinatorial optimization. However, this network yielded a satisfiability problem because the network has grown larger, and it is more complex. Therefore, an improved algorithm has been proposed to enhance the Hopfield network’s capability by using the technique of fuzzy logic to provide more efficient energy relaxation and to avoid the local minimum solutions. Agent-based modeling has been introduced in this paper to conduct computer simulations, which aim at verifying and validating the introduced approach. By applying the technique of fuzzy Hopfield neural network clustering in the system, better quality solutions are produced, and the network is handled better despite the increasing complexity. Also, the solutions converged faster by the system. Accordingly, this technique of the fuzzy Hopfield neural network clustering in the system has produced better-quality solutions.

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