[PDF][PDF] Upgrading logic programming in Hopfield network
S Sathasivam - Sains Malaysiana, 2010 - ukm.edu.my
The convergence property for doing logic programming in Hopfield network can be
accelerated by using new relaxation method. This paper shows that the performance of the …
accelerated by using new relaxation method. This paper shows that the performance of the …
[PDF][PDF] Logic Mining in League of Legends.
LC Kho, MSM Kasihmuddin… - … Journal of Science …, 2020 - pertanika2.upm.edu.my
Since its debut in 2009, League of Legends (LoL) has been on a rise in becoming an
extremely favoured multiplayer online battle arena (MOBA) game. This paper presented a …
extremely favoured multiplayer online battle arena (MOBA) game. This paper presented a …
Logic learning in Hopfield networks
S Sathasivam, WATW Abdullah - arXiv preprint arXiv:0804.4075, 2008 - arxiv.org
Synaptic weights for neurons in logic programming can be calculated either by using
Hebbian learning or by Wan Abdullah's method. In other words, Hebbian learning for …
Hebbian learning or by Wan Abdullah's method. In other words, Hebbian learning for …
Logic mining in neural network: reverse analysis method
S Sathasivam, WAT Wan Abdullah - Computing, 2011 - Springer
Neural networks are becoming very popular with data mining practitioners because they
have proven through comparison their predictive power with statistical techniques using real …
have proven through comparison their predictive power with statistical techniques using real …
[PDF][PDF] Metaheuristics approach for maximum k satisfiability in restricted neural symbolic integration
S Sathasivam, M Mamat… - Pertanika J. Sci …, 2020 - journals-jd.upm.edu.my
Maximum k Satisfiability logical rule (MAX-kSAT) is a language that bridges real life
application to neural network optimization. MAX-kSAT is an interesting paradigm because …
application to neural network optimization. MAX-kSAT is an interesting paradigm because …
3-satisfiability logic programming approach for cardiovascular diseases diagnosis
MA Mansor, S Sathasivam… - AIP Conference …, 2018 - pubs.aip.org
3-Satisfiability logic programming is a brand-new approach in the data mining field. In recent
years, the conventional data mining technique only emphasizes on the standalone neural …
years, the conventional data mining technique only emphasizes on the standalone neural …
[PDF][PDF] Hybridised Intelligent Dynamic Model of 3-Satisfiability Fuzzy Logic Hopfield Neural Network.
FL Azizan, S Sathasivam… - Pertanika Journal of …, 2023 - pertanika2.upm.edu.my
This study presents a new way of increasing 3SAT logic programming's efficiency in the
Hopfield network. A new model of merging fuzzy logic with 3SAT in the Hopfield network is …
Hopfield network. A new model of merging fuzzy logic with 3SAT in the Hopfield network is …
Satisfiability based reverse analysis method in diabetes detection
MSM Kasihmuddin, M Mansor… - AIP Conference …, 2018 - pubs.aip.org
Accurate diabetes diagnosis is vital to ensure patient with certain symptom can be treated
appropriately. Medical diagnosis is often challenging because not all patient's symptoms will …
appropriately. Medical diagnosis is often challenging because not all patient's symptoms will …
[PDF][PDF] Logic mining in football matches
LC Kho, MSM Kasihmuddin… - Indones. J. Electr …, 2020 - pdfs.semanticscholar.org
Sports results forecast has became increasingly popular among the fans nowadays. It made
predicting the outcome of a sport's match, a new and interesting challenge. This paper …
predicting the outcome of a sport's match, a new and interesting challenge. This paper …
Quality solution of logic programming in Hopfield neural network
MSM Kasihmuddin, MA Mansor… - Journal of Physics …, 2019 - iopscience.iop.org
The dynamical behaviours of Artificial neural network (ANN) system are strongly dependent
by its network structure. In that sense, the output of ANN has long suffered from a lack of …
by its network structure. In that sense, the output of ANN has long suffered from a lack of …