Results 111 to 120 of about 59,820 (274)

Bus Travel TIME in the Mixed Traffic Based on Statistica Neural Network [PDF]

, 2010
This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon.
Kamaruddin, I. (Ibrahim), Napiah, M. (Madzlan), Suwardo, S. (Suwardo), Wahyunggoro, O. (Oyas)   +3 more
core  

Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation

Materials Genome Engineering Advances, EarlyView.
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang, Tianwen Chen, Yongjing Wu, Fuzhu Liu, Yaping Wang, Zhimao Yang, Shengchun Yang   +6 more
wiley   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

Optimization of Flexural Strength of PLA Flexural Test Specimens Produced by FDM Using Taguchi L27 Orthogonal Array and Hybrid Regression Model

Journal of Polymer Science, EarlyView.
This study investigates the impact of FDM process parameters on the flexural strength of PLA components using a Taguchi L27 orthogonal array. Analysis reveals wall thickness and layer height as the primary determinants of mechanical performance. A highly accurate regression model is developed, providing a robust predictive framework to optimize 3D ...
Mehmet Şah Gültekin, Cüneyt Özdemir
wiley   +1 more source

Classification Improvement with Integration of Radial Basis Function and Multilayer Perceptron Network Architectures

Mathematics
The radial basis function architecture and the multilayer perceptron architecture are very different approaches to neural networks in theory and practice.
László Kovács
doaj   +1 more source

Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection [PDF]

, 2016
This study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recastaccuracy of Support Vector Regression (SVR) to Neural Network (NN) models, using a linear model as a ...
Claveria, Oscar, Monte Moreno, Enrique, Torra Porras, Salvador   +2 more
core   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Maximum Power Point Tracking Control of Offshore Hydraulic Wind Turbine Based on Radial Basis Function Neural Network

Energies
A maximum power point tracking control strategy for an affine nonlinear constant displacement pump-variable hydraulic motor actuation system with parameter uncertainty, used within an offshore hydraulic wind turbine, is studied in this paper.
Qinwei Wang, Zeli Du, Wenting Chen, Chao Ai, Xiangdong Kong, Jiarui Zhang, Keyi Liu, Gexin Chen   +7 more
doaj   +1 more source

Retracted: Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network. [PDF]

Comput Math Methods Med, 2023
Methods In Medicine CAM.
europepmc   +1 more source

A loudspeaker response interpolation model based on one-twelfth octave interval frequency measurements [PDF]

, 2005
A practical loudspeaker frequency response interpolation model is developed using a modification of the Tuneable Approximate Piecewise Linear Regression (TAPLR) model that can provide a complete magnitude and phase response over the full frequency range ...
Zaknich, A.
core   +1 more source