Repository logo
UNIVERSIDAD NACIONAL
AUTÓNOMA DE CHOTA
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Zamart, Chantapish"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    A Stochastic Framework for Solving the Prey-Predator Delay Differential Model of Holling Type-III
    (Tech Science Press, 2022-12) Ruttanaprommarin, Naret; Sabir, Zulqurnain; Sandoval Núñez, Rafaél Artidoro; Az-Zo’bi, Emad A.; Weera, Wajaree; T.; Botmart, Thongchai; Zamart, Chantapish
    The current research aims to implement the numerical results for the Holling third kind of functional response delay differential model utilizing a stochastic framework based on Levenberg-Marquardt backpropagation neural networks (LVMBPNNs). The nonlinear model depends upon three dynamics, prey, predator, and the impact of the recent past. Three different cases based on the delay differential system with the Holling 3rd type of the functional response have been used to solve through the proposed LVMBPNNs solver. The statistic computing framework is provided by selecting 12%, 11%, and 77% for training, testing, and verification. Thirteen numbers of neurons have been used based on the input, hidden, and output layers structure for solving the delay differential model with the Holling 3rd type of functional response. The correctness of the proposed stochastic scheme is observed by using the comparison performances of the proposed and reference data-based Adam numerical results. The authentication and precision of the proposed solver are approved by analyzing the state transitions, regression performances, correlation actions, mean square error, and error histograms.
UNIVERSIDAD NACIONAL
AUTÓNOMA DE CHOTA
SEDE ACADÉMICA

Jr. 30 de Agosto Nº 560 - Segundo Piso - Plaza de Armas


CORREO ELECTRÓNICO

repositorio@unach.edu.pe
imagen@unas.edu.pe