Earth Sciences - Papers & Sessions at the 2005 & 2006 IJCNNs
Starting with IJCNN 2005 in
Note that many papers, especially those in poster sessions, and perhaps in the future this web-page will be better restructured to cluster similar topics in Earth Sciences together. Also, many relevant conference papers are missing from these lists, which focus mostly on special sessions. For example, several papers on satellite imagery and analysis are not included. Perhaps a more complete picture will be provided in the future.
Abstracts for papers should be added at a later date.
Subjects:
·
Fundamental Mathematical and
Statistical Toolsets
· Ocean-Wind-Hurricane-Cyclone-Shoreline-Harbour
· Predictive Uncertainty in Environmental Modelling
·
Seismic
·
Tornados
·
Weather
& Climate Prediction
Conferences,
Sessions, and Chairs
2006 IEEE World Congress on
Computational Intelligence,
Computational Intelligence in Earth &
Environmental Sciences (Sessions I through III)
Chairs: Hsieh, Krasnopolsky,
Solomatine, Valdes
Predictive
Uncertainty in Environmental Modelling
Chair: Gavin Cawley
Temporal Data
Analysis, Prediction & Forecasting
Chairs: Salvatore Marra
and Francesco Morabito
2005 Applications of Learning
and Data-Driven Methods to Earth Sciences and Climate Modeling (2 sessions)
Chair: Vladimir Cherkassky, Vladimir Krasnopolsky, Dimitri Solomatine, Julio Valdes
Papers by topic area
Fundamental Mathematical
and Statistical Toolsets
Nonlinear Complex Principal Component Analysis and Its Applications
Sanjay Rattan, William Hsieh and Gerben Ruessink (IJCNN05)
Solar Activity Forecasting by Incorporating
Prior Knowledge from Nonlinear Dynamics into Neural Networks
Salvatore Marra and Francesco Morabito
(IJCNN06)
Time Dependent Neural Network Models For Detecting Changes Of State In Earth and Planetary Processes
Julio J. Valdes and Graeme Bonham-Carter
(IJCNN05)
National
Research Council
Complex Hybrid Models Combining Deterministic and Machine Learning Components as a New Synergetic Paradigm in Numerical Climate Modeling and Weather Prediction
Vladimir Krasnopolsky
and Michael Fox-Rabinovitz (IJCNN05)
Saic at Ncep/Noaa and Essic/Umd, United States; Essic/Umd,
United States
Nonlinear Principal Predictor Analysis Using Neural Networks
Alex Cannon (IJCNN05), Meteorological
Service of
Temporal Neural Networks for Downscaling Climate Variability and Extremes
Yonas Dibike and Paulin Coulibaly (IJCNN05)
Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability [#1459]
Alexander Ilin,
Harri Valpola and Erkki Oja (IJCNN05)
Intelligent systems for meteorological events forecast
Eros Pasero,
Walter Moniaci and Tassilo Meindl (IJCNN05)
Polytechnic of
Electric Load Forecasting using
Scatter Search Based Weighted Average Weather Conditions
Masayuki Kobayashi, Tetsuya Yukawa, Yasuhito Kuze, Tetsuro Matsui and Tatsuya Iizaka
(IJCNN06)
Ocean-Wind-Hurricane-Cyclone-Shoreline-Harbour
Using Neural Network to Enhance
Assimilating Sea Surface Height Data into an Ocean Model
Vladimir Krasnopolsky, Carlos Lozano, Deanna Spindler, Ilya Rivin and Desiraju.B. Rao (IJCNN06)
Neural Network Modeling of Nearshore Sandbar Behavior
Leo Pape, Gerben Ruessink, Marco Wiering and Ian
Turner (IJCNN06)
A Cross-wavelet Study of Alongshore
Nonuniform Nearshore
Sandbar Behavior
Gerben Ruessink, Giovanni
Coco, Rosh Ranasinghe and Ian Turner (IJCNN06)
Application of Markov Chain
Simulation for Model Calibration
Gerben Ruessink (IJCNN06)
Model Inversion by Parameter Fit
Using NN Emulating the Forward Model - Evaluation of Indirect Measurements
Helmut Schiller (IJCNN06)
Tropical Cyclone Forecast Using
Angle Features and Time Warping
James Liu, Bo Feng, Meng
Wang and Weidong Luo
(IJCNN06)
Atmospheric correction and oceanic constituents retrieval with a neuro-variational method
Julien Brajard, Cedric Jamet, Cyril Moulin and Sylvie Thiria
Locean/ipsl,
Modelling Harbour Sedimentation Using ANN and M5 Model Trees
Biswa Bhattacharya and Dimitri Solomatine (IJCNN05)
UNESCO-IHE Institute for Water
Education,
The Interval Estimation of
Parameters for Back-Propagation Network to Flood Discharge Forecasting
Chang-Shian Chen, Chao-Chung
Yang and Chin-Hui Liu (IJCNN06)
Streamflow Forecasting with Uncertainty Estimate Using Bayesian Learning for ANN
Mohammad Khan and Paulin Coulibaly (IJCNN05),
A Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting
Christian Dawson, Linda See, Robert Abrahart, Robert Wilby and Asaad Shamseldin (IJCNN05)
Loughborough University, UK; University of Leeds, UK; University of Nottingham, UK; Environment Agency, UK; University of Auckland, New Zealand
Neural
Asaad Shamseldin, Robert Abrahart and Linda See (IJCNN05)
Neural Network Modelling
of the 20-Year Flood Event for 850 Catchments Across
the
Christian Dawson, Robert Abrahart, Asaad Shamseldin, Robert Wilby and Linda See (IJCNN05)
Loughborough University, UK; University of Nottingham, UK; University of Auckland, New Zealand; Environment Agency, UK; University of Leeds, UK
A Spatiotemporal Approach to Tornado Prediction [#1072]
Valliappa Lakshmanan, Indra Adrianto, Travis Smith and Greg Stumpf (IJCNN05)
University of
Applications of Neural Network Methods to the Processing of Earth Observation Satellite Data
Diego G. Loyola R. (IJCNN05),
Robustness of the NN Approach to Emulating Atmospheric Long Wave Radiation in Complex Climate Models
Vladimir Krasnopolsky, Michael Fox-Rabinovitz and Ming-Dah Chou (IJCNN05)
Saic at Ncep/Noaa and Essic/Umd, United
States; Essic/Umd,
Machine Learning in Soil Classification
Biswa
Bhattacharya and Dimitri Solomatine
(IJCNN05), UNESCO-IHE
Institute for Water Education,
A multilayer perceptron approach for the retrieval of vertical temperature profiles from satellite radiation data
Elcio Hideiti Shiguemori, Jose Demisio Simoes da Silva, Haroldo Fraga Campos Velho and Joao Carlos Carvalho (IJCNN05)
Classification of Infrasound Events Using Using Radial Basis Function Neural Networks
Fredric Ham, Kamel
Rekab,
Predictive Uncertainty in Environmental Modelling
A Variational EM Approach to Predicting Uncertainty in
Supervised Learning
Markus Harva (IJCNN06)
Predictive Uncertainty
in Environmental Modelling
Gavin Cawley, Malcolm Haylock and
Stephen Dorling (IJCNN06)
Variance
Stabilizing Regression Ensembles for Environmental Models
Anthony Bagnall, Ian Whittley, Matthew Studley, Mike Pettipher and Firat Tekiner (IJCNN06)
Ensemble of
Competitive Associative Nets and Multiple K-fold Cross-Validation
for Estimating Predictive Uncertainity in
Environmental Modelling
Shuichi Kurogi, Daisuke Kuwahara and
Shinya Tanaka (IJCNN06)
Generic
Prioritization Framework For Target Selection And
Instrument Usage For Reconnaissance
Fink
Wolfgang (IJCNN06)
Deterministic
Models and Neural Nets: A Successful Methodology for the Air Dispersion Models
Armando Pelliccioni, Tiziano Tirabassi, Sabrina Bellantone and
Claudio Gariazzo (IJCNN06)
?Don't
know... – haven't checked the classification…?
Local and Hybrid Learning Models in Forecasting Natural Phenomena
Dimitri Solomatine (IJCNN05), UNESCO-IHE Institute for Water
Education,
Recurrent Neural Network Based
Gating for Natural Gas Load Prediction System
Petr Musiek, Emil Pelikan, Tomas Brabec and
Hybrid Model with Dynamic Architecture
for Forecasting Time Series
Gecynalda Soares S. Gomes,
Andre Luis S. Maia, Teresa B. Ludermir,
Francisco de A.T. De Carvalho and Aluizio
F. R. Araujo (IJCNN06)
These
are probably flooding-related papers…
Estimation of Prediction Intervals for the Model Outputs using Machine Learning
D. L. Shrestha and Dimitri P. Solomatine (IJCNN05)
UNESCO-IHE Institute for Water
Education,
Issues in Designing Automated Minimal Resource Allocation Neural Networks
Momcilo
Markus (IJCNN05),
Wavelet Networks: An Alternative to Classical Neural Networks
Kamban Parasuraman and Amin Elshorbagy (IJCNN05)
These will be removed from the list…
Nonlinear System Identification
Based on B-Spline Neural Network and Modified
Particle Swarm Optimization
Leandro dos Santos Coelho and Renato
Krohling (IJCNN06)