Published: Jan. 1, 2025
Language: Английский
Published: Jan. 1, 2025
Language: Английский
Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 187, P. 109807 - 109807
Published: Feb. 8, 2025
Language: Английский
Citations
2Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 29, P. 100635 - 100635
Published: March 1, 2025
Language: Английский
Citations
0PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0320327 - e0320327
Published: April 1, 2025
Objectives The current research investigations present the numerical solutions of anthrax disease system in animals by designing a machine learning stochastic procedure. mathematical is classified into susceptible, infected, recovered and vaccinated. Method A Runge-Kutta solver applied to collect dataset, which decreases mean square error dividing training as 78%, testing 12% verification 10%. proposed computing technique performed through logistic sigmoid activation function, single hidden layer construction, twenty-seven numbers neurons, optimization Bayesian regularization for animals. Finding designed procedure’s correctness authenticated results overlapping reducible absolute error, are calculated around 10 -05 -08 each case model. best performances -10 -12 Moreover, statistical terms regression coefficient, histogram, state transition values enhance reliability approach. Novelty scheme not before get
Language: Английский
Citations
0Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 123, P. 341 - 345
Published: March 28, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0