Due to the complexity of process operation, industrial process data are often nonlinear and
nonstationary, high dimensional, and multivariate with complex interactions between …

Fine denier polyester fibers have attracted attention in electronic information industry owing
to their unique structural properties and ultra fine diameters. Since there is a close …

Aiming at the problem that the upstream manufacturer cannot accurately formulate the
production plan after the link of the nonlinear supply chain system changes under …

Real-world data is typically distributed on low-dimensional manifolds embedded in high-
dimensional Euclidean spaces. Accurately extracting spatial distribution features on general …

Establishing a suitable model of the studied nonlinear dynamic system is the basis and
prerequisite for system analysis and design. Radial basis functions have the characteristics …

Abstract Restricted Boltzmann Machines are energy-based models capable of learning
probability distributions. In practice, though, it is seriously limited by the fact that the …

Real-time prediction of future process outputs is critical for the model predictive control of
continuous manufacturing processes. It helps identify when and how to adjust the process …

In recent years, creating a green and low-carbon sustainable development has received
extensive attention, prompting considerable research into reducing pollution emissions in …

The paper is focused on solving the modern scientific and applied problem related to
development and practical use in Decision Support Systems (DSS) of information …

The development of an accurate electricity consumption forecast model is crucial for the
stable operation and intelligent management of power systems. Traditional methods often …