Results 101 to 110 of about 1,355,935 (279)

A New Localization Algorithm Based on Taylor Series Expansion for NLOS Environment

Cybernetics and Information Technologies, 2016
In Non-Line-Of-Sight (NLOS) environment, location accuracy of Taylorseries expansion location algorithm degrades greatly. A new Taylor-series expansion location algorithm based on self-adaptive Radial-Basis-Function (RBF) neural network is proposed in ...
Ren Jin, Chen Jingxing, Bai Wenle
doaj   +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

Distributed Secondary Voltage Control of Islanded Microgrids Based on RBF-Neural-Network Sliding-Mode Technique

IEEE Access, 2019
The secondary voltage control problem of inverter-based islanded microgrid (MG) is proposed in this paper. First, the dynamics of the distributed generation (DG) with primary control is analyzed and modeled.
Xueqiang Shen, Haiqing Wang, Jian Li, Qingyu Su, Lan Gao   +4 more
semanticscholar   +1 more source

Hydrogen Halide Gas Sensors: Active Materials, Operation Principles, and Emerging Technologies

Interdisciplinary Materials, EarlyView.
This review considers hydrogen halide (HX) gas sensors across functional materials and principles: acoustic, chemical, optical and nanophotonic. The strong acidity and reactivity of HX gases are discussed as constraints for stability and selectivity of these devices.
Xiuzhen Liu, Nikita Tukachev, Kehang Wang, Dmirty Zhirihin, Yaopeng Cheng, Pavel Krasnov, Mingzhao Song, Soslan Khubezhov, Wenping Yin, Emmanuel Stratakis, Sailing He, Andrey L. Rogach, Sergey Makarov   +12 more
wiley   +1 more source

Algorithms selection and adaptation in accord with architecture for RBF neural network based face authentication SoC

, 2007
International audienceThis paper describes the algorithms applied to a Radial Basis Function (RBF) neural network. This neural network is used as a classifier to design a human face authentication system.
Jay, Jacques, Pierrefeu, Lionel
core   +1 more source

RBF neural net based classifier for the AIRIX accelerator fault diagnosis [PDF]

, 2000
The AIRIX facility is a high current linear accelerator (2-3.5kA) used for flash-radiography at the CEA of Moronvilliers France. The general background of this study is the diagnosis and the predictive maintenance of AIRIX.
Delaunay, G., Delvaux, J., Merle, E., Mouillet, M., Ribes, J. C.   +4 more
core   +2 more sources

Prediction of Ecological Pressure on Resource-Based Cities Based on an RBF Neural Network Optimized by an Improved ABC Algorithm

IEEE Access, 2019
Resource-based cities are those where resource-based industries comprise a large proportion of all industries. Sustainable development implies that cities make full use of their own resources to support current development initiatives and take ...
Song Jiang, Caiwu Lu, Sai Zhang, Xiang Lu, S. Tsai, Cheng-Kuang Wang, Yuan Gao, Y. Shi, Chien-Hung Lee   +8 more
semanticscholar   +1 more source

Machine Learning Prediction of Raster Angle Effects on Mechanical Properties of Extrusion‐Based Additively Manufactured Conductive Thermoplastic Polyurethane Composites

Macromolecular Materials and Engineering, EarlyView.
This study integrates machine learning (ML) and high‐fidelity experiments to model how raster angle influences the mechanical properties of fused filament fabricated conductive TPU composites. Using Poly6 and SVR models, the approach accurately predicts stiffness, strength, and ductility.
Imran Khan, Ans Al Rashid, Muammer Koç
wiley   +1 more source

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  

An adiabatic neural network for RBF approximation

Neural Computing & Applications, 1994
Numerous studies have addressed nonlinear functional approximation by multilayer perceptrons (MLPs) and RBF networks as a special case of the more general mapping problem. The performance of both these supervised network models intimately depends on the efficiency of their learning process.
B. Truyen, N. Langloh, J. Cornelis
openaire   +2 more sources