SU-FF-J-25: Long Term Prediction of Respiratory Motion with Artificial Neural Network Based Adaptive Filtering Techniques

S Vedam; M Murphy; A Docef; R George; P Keall

doi:10.1118/1.1997571

SU-FF-J-25: Long Term Prediction of Respiratory Motion with Artificial Neural Network Based Adaptive Filtering Techniques

Medical Physics ◽

10.1118/1.1997571 ◽

2005 ◽

Vol 32 (6Part4) ◽

pp. 1925-1925

Author(s):

S Vedam ◽

M Murphy ◽

A Docef ◽

R George ◽

P Keall

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Adaptive Filtering ◽

Respiratory Motion ◽

Term Prediction ◽

Artificial Neural ◽

Long Term Prediction ◽

Filtering Techniques

Download Full-text

A long-term prediction of domestic water demand using preprocessing in artificial neural network

Journal of Water Supply Research and Technology—AQUA ◽

10.2166/aqua.2013.085 ◽

2013 ◽

Vol 63 (1) ◽

pp. 31-42 ◽

Cited By ~ 17

Author(s):

Sadegh Behboudian ◽

Massoud Tabesh ◽

Maliheh Falahnezhad ◽

Farrokh Alavian Ghavanini

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Demand ◽

Domestic Water ◽

Domestic Water Demand ◽

Term Prediction ◽

Artificial Neural ◽

Long Term Prediction

Download Full-text

Long-term prediction of the Earth Orientation Parameters by the artificial neural network technique

Journal of Geodynamics ◽

10.1016/j.jog.2011.12.004 ◽

2012 ◽

Vol 62 ◽

pp. 87-92 ◽

Cited By ~ 16

Author(s):

D.C. Liao ◽

Q.J. Wang ◽

Y.H. Zhou ◽

X.H. Liao ◽

C.L. Huang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Earth Orientation Parameters ◽

Earth Orientation ◽

The Earth ◽

Term Prediction ◽

Artificial Neural ◽

Long Term Prediction ◽

Orientation Parameters

Download Full-text

Long-Term Prediction of Discharges in Manwan Reservoir Using Artificial Neural Network Models

Advances in Neural Networks – ISNN 2005 - Lecture Notes in Computer Science ◽

10.1007/11427469_165 ◽

2005 ◽

pp. 1040-1045 ◽

Cited By ~ 83

Author(s):

Chuntian Cheng ◽

Kwokwing Chau ◽

Yingguang Sun ◽

Jianyi Lin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Models ◽

Neural Network Models ◽

Term Prediction ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Long Term Prediction

Download Full-text

Monitoring of long-term static deformation data of Fei-Tsui arch dam using artificial neural network-based approaches

Structural Control and Health Monitoring ◽

10.1002/stc.492 ◽

2011 ◽

Vol 20 (3) ◽

pp. 282-303 ◽

Cited By ~ 56

Author(s):

Ching-Yun Kao ◽

Chin-Hsiung Loh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Arch Dam ◽

Static Deformation ◽

Artificial Neural

Download Full-text

Modeling of Vehicle Dynamics From Real Vehicle Measurements Using a Neural Network With Two-Stage Hybrid Learning for Accurate Long-Term Prediction

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2004.830145 ◽

2004 ◽

Vol 53 (4) ◽

pp. 1076-1084 ◽

Cited By ~ 20

Author(s):

Y.U. Yim ◽

S.-Y. Oh

Keyword(s):

Neural Network ◽

Vehicle Dynamics ◽

Hybrid Learning ◽

Two Stage ◽

Term Prediction ◽

Long Term Prediction ◽

Real Vehicle

Download Full-text

Long‐term streamflow forecasting using artificial neural network based on preprocessing technique

Journal of Forecasting ◽

10.1002/for.2564 ◽

2019 ◽

Vol 38 (3) ◽

pp. 192-206 ◽

Cited By ~ 7

Author(s):

Fang‐Fang Li ◽

Zhi‐Yu Wang ◽

Jun Qiu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Streamflow Forecasting ◽

Artificial Neural ◽

Preprocessing Technique

Download Full-text

A spiking neural network-based long-term prediction system for biogas production

Neural Networks ◽

10.1016/j.neunet.2020.06.001 ◽

2020 ◽

Vol 129 ◽

pp. 271-279 ◽

Cited By ~ 1

Author(s):

Giacomo Capizzi ◽

Grazia Lo Sciuto ◽

Christian Napoli ◽

Marcin Woźniak ◽

Gianluca Susi

Keyword(s):

Neural Network ◽

Biogas Production ◽

Spiking Neural Network ◽

Prediction System ◽

Term Prediction ◽

Long Term Prediction

Download Full-text

Transfer learning with long term artificial neural network memory (LTANN-MEM) and neural symbolization algorithm (NSA) for solving high dimensional multi-objective symbolic regression problems

2017 34th National Radio Science Conference (NRSC) ◽

10.1109/nrsc.2017.7893495 ◽

2017 ◽

Author(s):

Amr K. Deklel ◽

Mohamed A. Saleh ◽

Alaa M. Hamdy ◽

Elsayed M. Saad

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transfer Learning ◽

Symbolic Regression ◽

High Dimensional ◽

Multi Objective ◽

Regression Problems ◽

Artificial Neural

Download Full-text

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

Environmental Research ◽

10.1016/j.envres.2015.02.002 ◽

2015 ◽

Vol 139 ◽

pp. 46-54 ◽

Cited By ~ 105

Author(s):

Wen-chuan Wang ◽

Kwok-wing Chau ◽

Lin Qiu ◽

Yang-bo Chen

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Forecasting Accuracy ◽

Artificial Neural

Download Full-text

Applying artificial neural network to the short-term prediction of electron density structure using GPS occultation data

Geophysical Research Letters ◽

10.1029/2001gl013656 ◽

2002 ◽

Vol 29 (9) ◽

pp. 35-1-35-4 ◽

Cited By ~ 5

Author(s):

Zhen Zeng ◽

Xiong Hu ◽

Xunjie Zhang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Electron Density ◽

Density Structure ◽

Short Term ◽

Term Prediction ◽

Artificial Neural ◽

Occultation Data ◽

Short Term Prediction ◽

Gps Occultation

Download Full-text