Random Search Hyperparameter Optimization for BPNN to Forecasting Cattle Population

Random Search Hyperparameter Optimization for BPNN to Forecasting Cattle Population

Backpropagation Neural Network (BPNN) is a suitable method for predicting the future. It has weaknesses, namely poor convergence speed and instability, requiring parameter tuning to overcome speed problems, and having a high bias. This research uses the Random Search hyperparameter technique to opti...

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Bibliographic Details
Main Authors: Khotimah Bain Khusnul, Agustina Fitri, Puspitarini Oktavia Rahayu, Husni, Anamisa Devie Rosa, Prayugo Natasha, Putri Aisyah Meta Sari
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Subjects:
hyperparameters
bpnn
random search
prediction
population number
madurese cattle
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/29/e3sconf_etmic2023_01017.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/29/e3sconf_etmic2023_01017.pdf

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