OPTIMIZING MULTILAYER PERCEPTRON NEURAL NETWORK HYPERPARAMETERS
Ivana PETKOVSKI
doaj +1 more source
Struct2SL: Synthetic lethality prediction based on AlphaFold2 structure information and Multilayer Perceptron. [PDF]
Huang Y, Yuan R, Li Y, Xing Z, Li J.
europepmc +1 more source
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley +1 more source
Comparative performance of logistic regression, multilayer perceptron and decision tree models for predicting surgical pressure injuries: a retrospective cohort study. [PDF]
Li CY +5 more
europepmc +1 more source
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei +2 more
wiley +1 more source
Automated framework for multi-domain social media text analysis for business strategy employing multilayer perceptron with Word2Vec features and LIME XAI. [PDF]
Turki A.
europepmc +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
SOH estimation for lithium-ion batteries using the distribution of relaxation time and feature optimized multilayer perceptron. [PDF]
Wang F +6 more
europepmc +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Refining satellite Altimetry-Derived gravity anomaly model with shipborne gravity using multilayer perceptron neural networks. [PDF]
Xiao C +5 more
europepmc +1 more source

