Neuro-symbolic artificial intelligence: a survey
The goal of the growing discipline of neuro-symbolic artificial intelligence (AI) is to develop
AI systems with more human-like reasoning capabilities by combining symbolic reasoning …
AI systems with more human-like reasoning capabilities by combining symbolic reasoning …
[HTML][HTML] Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation
This study proposes a novel hybrid computational approach that integrates the artificial
dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal …
dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal …
Hopfield type of artificial neural network via election algorithm as heuristic search method for random boolean ksatisfiability
H Abubakar, ML Danrimi - International Journal of Computing …, 2021 - journal.uob.edu.bh
This study proposed a hybrid computational model by incorporating Election Algorithm (EA)
as a heuristics search technique in a Hopfield type of artificial neural network (HNN). The …
as a heuristics search technique in a Hopfield type of artificial neural network (HNN). The …
[HTML][HTML] Artificial Neural Network Logic-Based Reverse Analysis with Application to COVID-19 Surveillance Dataset
H Abubakar, M Idris - Artificial Neural Networks-Recent Advances …, 2023 - intechopen.com
Abstract The Boolean Satisfiability Problem (BSAT) is one of the crucial decision problems in
the fields of computing science, operation research, and mathematical logic that is resolved …
the fields of computing science, operation research, and mathematical logic that is resolved …
Logic-Based Reverse Analysis: A Covid-19 Surveillance Data Set Classification Problem
H Abubakar, S Yusuf - Journal of Basic and Applied Research in …, 2023 - jbarbiomed.com
This study focuses on the application of formal logic systems to real-world problem-solving,
specifically in the classification of the COVID-19 Surveillance Data Set (CSDS). The …
specifically in the classification of the COVID-19 Surveillance Data Set (CSDS). The …
SOIL FERTILITY CLASSICATION VIA HYBRID HOPFIELD NEURAL NETWORK WITH ELECTION ALGORITHM FOR RANDOM BOOLEAN SATISFIABILITY REVERSE …
H Abubakar, M Shafiq - Suranaree Journal of Science & …, 2022 - search.ebscohost.com
Artificial neural network (ANN) possesses a comprehensive structure of training and testing
stages that made it one of the most efficient tools in patterns and knowledge extraction in …
stages that made it one of the most efficient tools in patterns and knowledge extraction in …