Results 71 to 80 of about 265,148 (311)

Neural Network Models for Predicting Magnetization Surface Switched Reluctance Motor: Classical, Radial Basis Function, and Physics-Informed Techniques

IEEE Access
Neural networks have increasingly been utilized in electric drive systems to enhance modeling, control, and optimization. These data-driven techniques enable accurate predictions of complex nonlinear behaviors, including the magnetization characteristics
Galina Demidova, Jackson J. Justo, Dmitry Lukichev, Nikolai Poliakov, Alecksey Anuchin   +4 more
doaj   +1 more source

Noise Reduction Technique for Images using Radial Basis Function Neural Networks [PDF]

Mehran University Research Journal of Engineering and Technology, 2014
This paper presents a NN (Neural Network) based model for reducing the noise from images. This is a RBF (Radial Basis Function) network which is used to reduce the effect of noise and blurring from the captured images. The proposed network calculates the
Sander Ali Khowaja, Syed Zafi Sherhan Shah, Muhammad Usman Memon   +2 more
doaj  

Parameter estimation for stiff equations of biosystems using radial basis function networks

BMC Bioinformatics, 2006
Background The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for parameter estimation, e.g.
Sugimoto Masahiro, Kikuchi Shinichi, Matsubara Yoshiya, Tomita Masaru   +3 more
doaj   +1 more source

Two‐Dimensional Materials as a Multiproperty Sensing Platform

Advanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana, Shubhrasish Mukherjee, Dmitrii Litvinov, Magdalena Grzeszczyk, Sergey Grebenchuk, Makars Šiškins, Virgil Gavriliuc, Yihang Ouyang, Changyi Chen, Yuxuan Ye, Meng Yiming, Maciej Koperski   +11 more
wiley   +1 more source

The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

IJAIN (International Journal of Advances in Intelligent Informatics), 2019
Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series ...
Amrul Faruq, Shahrum Shah Abdullah, Aminaton Marto, Mohd Anuar Abu Bakar, Shamsul Faisal Mohd Hussein, Che Munira Che Razali   +5 more
doaj   +1 more source

Hydrogen‐Bond‐Rich Supramolecular Multiblock Copolymers Facilitate Rapid Zn2+ Migration in Quasi‐Solid‐State Zinc‐Ion Batteries

Advanced Functional Materials, EarlyView.
The disordered growth of dendrites, corrosion, parasitic side reactions, slow de‐solvation kinetics, and inherent safety risks significantly hinder the practical deployment of conventional liquid electrolyte zinc‐ion batteries. In contrast, the novel PU‐EG+DMPA‐Zn polyurethane quasi‐solid‐state electrolyte, enriched with abundant polar functional ...
Ruiqi Liu, Changding Wang, Fu Wan, Kaida Hu, Da Yang, Yaoyang Xia, Wenwei Yin, Yupeng Lin, Yuejiao Chen, Shuhui Sun, Weigen Chen   +10 more
wiley   +1 more source

Modeling Marine Electromagnetic Survey with Radial Basis Function Networks

Journal of ICT Research and Applications, 2014
A marine electromagnetic survey is an engineering endeavour to discover the location and dimension of a hydrocarbon layer under an ocean floor. In this kind of survey, an array of electric and magnetic receivers are located on the sea floor and record ...
Agus Arif, Vijanth S. Asirvadam, M.N. Karsiti   +2 more
doaj  

A CASE STUDY ON SUPPORT VECTOR MACHINES VERSUS ARTIFICIAL NEURAL NETWORKS [PDF]

, 2004
The capability of artificial neural networks for pattern recognition of real world problems is well known. In recent years, the support vector machine has been advocated for its structure risk minimization leading to tolerance margins of decision ...
Lin, Wen-Chyi
core  

A Solvent‐Free, Dry‐Processed Li‐Ion Battery Enabled by Dual Binders and Nanostructured Aluminum Current Collectors

Advanced Functional Materials, EarlyView.
A dual‐binder dry‐processed electrode (DB‐DPE) combining PTFE and PVDF with a nanostructured Al current collector (NSA) forms a mechanically interlocked interface that significantly improves adhesion and reduces interfacial resistance. With an active material content as high as 96 wt.%, the NSA‐based DB‐DPE enables high‐mass‐loading operation (12.5 mAh
Seok Yun Kim, Tae‐Kyung Liu, Hae Seong Kim, Dong Hwan Wang, Jong Hyeok Park   +4 more
wiley   +1 more source

On Comparison between Radial Basis Function and Wavelet Basis Functions Neural Networks

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
      In this paper we study and design two feed forward neural networks. The first approach uses radial basis function network and second approach uses wavelet basis function network to approximate the mapping from the input to the output space.
L.N.M. Tawfiq, T.A.M. Rashid
doaj