IEEE

Nonlinear Regression With Hierarchical Recurrent Neural Networks Under Missing Data

Abstract: We study regression (or prediction) of sequential data, which may have missing entries and/or different lengths. This problem is heavily investigated in the machine learning literature since ...
IEEE

Nonlinear Regression Models in Power System Optimization

Abstract: Strength system optimization is a challenging trouble, because it entails a couple of objectives, constraints, records, and variables. Historically, linear regression fashions including ...
C&EN

Artificial Neural Network and Non-Linear Regression-Based Optimization of the Degradation of Acid Black 52 Using Atmospheric Plasma Process

Laboratorio de Análisis y Sustentabilidad Ambiental, Escuela de Estudios Superiores de Xalostoc, Universidad Autónoma del Estado de Morelos, Ayala, Morelos 62715, Mexico ...