Basis Function Approaches

Energy Disaggregation for Commercial Building with Unmonitored Facilities by Using Diurnal Linear Basis Function Model

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.140.137 ◽

2020 ◽

Vol 140 (2) ◽

pp. 137-144

Author(s):

Fuyuki Sato ◽

Shinichiro Otani ◽

Nobuyuki Yamaguchi

Keyword(s):

Basis Function ◽

Commercial Building ◽

Function Model ◽

Linear Basis ◽

Energy Disaggregation

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Performance Comparison of Generalized Regression Network, Radial Basis Function Network and Support Vector Regression for Wind Power Forecasting

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v12i1.15781 ◽

2019 ◽

Vol 12 (1) ◽

pp. 16

Author(s):

Jyothi Varanasi ◽

Madan Mohan Tripathi

Keyword(s):

Radial Basis Function ◽

Support Vector Regression ◽

Wind Power ◽

Basis Function ◽

Radial Basis Function Network ◽

Performance Comparison ◽

Support Vector ◽

Wind Power Forecasting ◽

Radial Basis ◽

Function Network

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The Numerical Analysis of an Antenna near a Dielectric Object Using the Higher-Order Characteristic Basis Function Method Combined with a Volume Integral Equation

IEICE Transactions on Communications ◽

10.1587/transcom.e97.b.2066 ◽

2014 ◽

Vol E97.B (10) ◽

pp. 2066-2073 ◽

Cited By ~ 5

Author(s):

Keisuke KONNO ◽

Qiang CHEN

Keyword(s):

Integral Equation ◽

Numerical Analysis ◽

Basis Function ◽

Function Method ◽

Higher Order ◽

Volume Integral ◽

Volume Integral Equation

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ANALYSIS OF A SHORT BANANA FIBER-REINFORCED HDPE/POLY (∈-CAPROLACTONE) SKEW COMPOSITE PLATE USING THE MULTIQUADRIC RADIAL BASIS FUNCTION METHOD

Composites Mechanics Computations Applications An International Journal ◽

10.1615/compmechcomputapplintj.v2.i3.30 ◽

2011 ◽

Vol 2 (3) ◽

pp. 195-221

Author(s):

Raghvendra Misra ◽

P. C. Mishra ◽

Sandeep Kumar

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Composite Plate ◽

Function Method ◽

Fiber Reinforced ◽

Banana Fiber ◽

Radial Basis ◽

Poly Caprolactone ◽

Radial Basis Function Method

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Study of Fast Prediction Method for Transonic Flutter Boundary Using Radial Basis Function

AEROSPACE TECHNOLOGY JAPAN THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/astj.jsass-d-17-00087 ◽

2019 ◽

Vol 18 (0) ◽

pp. 133-141

Author(s):

Yuta SAWAKI ◽

Yuichi KUYA ◽

Keisuke SAWADA

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Prediction Method ◽

Radial Basis ◽

Transonic Flutter ◽

Flutter Boundary ◽

Fast Prediction

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A Radial Basis Function Network Based Classifier for Detection of Selected Tea Pests

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i5/0152 ◽

2017 ◽

Vol 7 (5) ◽

pp. 665-669 ◽

Cited By ~ 2

Author(s):

Gouravmoy Banerjee ◽

◽

Uditendu Sarkar ◽

Indrajit Ghosh ◽

◽

...

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Tea Pests ◽

Function Network

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Optimization of Meshfree Method with Distance Fields using Localized Solution Structure and Radial Basis Function Collocation Method

10.25148/etd.fi10022539 ◽

2009 ◽

Author(s):

Sudhir Reddy Posireddy

Keyword(s):

Radial Basis Function ◽

Collocation Method ◽

Basis Function ◽

Solution Structure ◽

Meshfree Method ◽

Distance Fields ◽

Radial Basis

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Forecasting Energy Consumption of a House using Radial Basis Function Network

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i8.827830 ◽

2018 ◽

Vol 6 (8) ◽

pp. 827-830

Author(s):

N. Saranya ◽

B.S.E. Zoraida

Keyword(s):

Energy Consumption ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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Global optimization based on metamodels using radial basis function with application to aircraft wings

10.26678/abcm.cobem2017.cob17-0248 ◽

2017 ◽

Cited By ~ 1

Author(s):

Nelson Diaz ◽

Nelson Manzanares Filho ◽

Edna da Silva

Keyword(s):

Global Optimization ◽

Radial Basis Function ◽

Basis Function ◽

Aircraft Wings ◽

Radial Basis

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Improvement of radial basis function neural network with accelerated particle swarm optimization for corrosion rate prediction of 3C steel in seawater environment

Annales de Chimie Science des Matériaux ◽

10.3166/acsm.42.563-573 ◽

2018 ◽

Vol 42 (4) ◽

pp. 563-573

Author(s):

Qingping JIAN

Keyword(s):

Neural Network ◽

Particle Swarm Optimization ◽

Corrosion Rate ◽

Radial Basis Function ◽

Basis Function ◽

Particle Swarm ◽

Swarm Optimization ◽

Rate Prediction ◽

Accelerated Particle Swarm Optimization ◽

Seawater Environment

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