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Grantee Research Project Results

NCER Grantee Research Project Results

Journal Publications Details for:

Computational Requirements of Statistical Learning within a Decision-Making Framework for Sustainable Technology.
Grant Number R828207
RFA: Technology for a Sustainable Environment (1999)


Other views: All publications Selected publication types Publications submitted after final report Redisplay this page with Reference Title, Journal, and Author Columns Display this page in RIS format

Journal Article (5)
Reference Type Citation Progress Report Year Document Sources
Journal Article Cervellera C, Chen VCP, Wen A. Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization. European Journal of Operational Research 2006;171(3):1139-1151. R828207 (2002)
R828207 (2003)
R828207 (Final)
Journal Article Cervellera C, Wen AH, Chen VCP. Neural network and regression spline value function approximations for stochastic dynamic programming.. Technometrics. . R828207 (2002)
not available
Journal Article Tsai JCC, Chen VCP, Chen J, Beck MB, Chen J. Stochastic dynamic programming formulation for a wastewater treatment decision-making framework. Annals of Operations Research 2004;132(1-4):207-221 (Special Issue entitled CUSTOM [Center for Uncertain Systems: Tools for Optimization and Management] Conference on Applied Optimization under Uncertainty). R828207 (2002)
R828207 (2003)
R828207 (Final)
Journal Article Tsai JCC, Chen VCP, Lee EK, Johnson EL. Parallelization of the MARS value function approximation in a decision-making framework for wastewater treatment. Journal of Statistical Computation and Simulation. R828207 (2002)
R828207 (2003)
not available
Journal Article Tsai JCC, Chen VCP. Flexible and robust implementations of multivariate adaptive regression splines within a wastewater treatment stochastic dynamic program. Quality and Reliability Engineering International 2005;21(7):689-699. R828207 (2003)
R828207 (Final)

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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.

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