Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Abstract: Lithium-ion battery refers to a complex nonlinear system. Real-time diagnosis and accurate prediction of battery state of charge(SOC) parameters are hotspots and critical issues in battery ...
A hybrid machine learning and metaheuristic framework optimizes sludge, fly ash, slag, and gypsum mixtures to improve compressive strength. The approach enables sustainable sludge reuse, reduces waste ...
Abstract: This paper aims to investigate an intelligent model for a combined infrared radiationconvection (IRC) dryer by using a support vector regression (SVR) algorithm based on an improved particle ...
The development of a high-precision displacement prediction model for landslide geological hazards is crucial for the early warning of such disasters. Landslide deformation typically exhibits a ...
ABSTRACT: To improve the accuracy of predicting non-invasive blood glucose concentration in the near-infrared spectrum, we utilized the Particle Swarm Optimization (PSO) algorithm to optimize ...
Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is ...
Due to the instability of α type HMX at low concentrations, it belongs to the impurity crystal form. To ensure the functional effectiveness, operational reliability and management safety of HMX, it is ...
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