Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks

This work proposed a new hybridised network of 3-Satisfiability structures that widens the search space and improves the effectiveness of the Hopfield network by utilising fuzzy logic and a metaheuristic algorithm. The proposed method effectively overcomes the downside of the current 3-Satisfiability structure, which uses Boolean logic by creating diversity in the search space. First, we included fuzzy logic into the system to make the bipolar structure change to continuous while keeping its logic structure. Then, a Genetic Algorithm is employed to optimise the solution. Finally, we return the answer to its initial bipolar form by casting it into the framework of the hybrid function between the two procedures. The suggested network’s performance was trained and validated using Matlab 2020b. The hybrid techniques significantly obtain better results in terms of error analysis, efficiency evaluation, energy analysis, similarity index, and computational time. The outcomes validate the significance of the results, and this comes from the fact that the proposed model has a positive impact. The information and concepts will be used to develop an efficient method of information gathering for the subsequent investigation. This new development of the Hopfield network with the 3-Satisfiability logic presents a viable strategy for logic mining applications in future

SIR integrated model based on Runge-Kutta for Polio vaccination analysis

Polio was one of the most lethal acute viral infectious diseases in the 20th century. A great deal of success has been achieved since the implementation of the polio vaccination strategy in 1988, and wild polio cases have decreased by more than 99%. However, in recent years, during the COVID-19 pandemic, vaccination strategies have encountered difficulties and challenges. At this stage, we are faced with the question of whether vaccination strategies should be continued. To determine the effect of vaccination strategies on the spread of polio at this stage, this paper proposes to use the SIR model based on world data collected in 2021 to simulate the 30-days transmission process of polio with and without vaccination. In addition, the results of this model also provide us with a reference disease response plan. The simulation results show that the vaccinated polio transmission model performs better than the uninoculated polio transmission model in terms of average estimated infection case, reproduction number, and infection rate, etc. At this stage, polio will not become an endemic disease if it occurs in vaccination areas. Nevertheless, if the case occurs in an unvaccinated area, the disease may develop into an endemic disease, and we must take immediate action (increase social distance, isolation, etc.) to effectively control its spread