Multi-variable, high order, performance Models (2005C)

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{IMECE2005-79416-R3,

• author = "David Japikse and Oleg Dubitsky and Kerry N. Oliphant and Robert J. Pelton and Daniel Maynes and Jamin Bitter",
• title = "Multi-variable, high order, performance Models (2005C)",
• booktitle = "2005 ASME International Mechanical Engineering Congress \& Exposition",
• year = "2005",
• pages = "513--521",
• pages = "IMECE2005--79416",
• address = "Orlando, Florida, USA",
• month = nov # " 5-11",
• organisation = "ASME",
• keywords = "genetic algorithms, genetic programming, genetic expression programming, Numerical, Modeling, Turbomachinery, Statistics",
• ISBN = "0-7918-4219-3",
• URL = "http://www.conceptsnrec.com/pdf/IMECE2005-79416-R3.pdf",
• DOI = "doi:10.1115/IMECE2005-79416",
• size = "9 pages",
• abstract = "In the course of developing advanced data processing and advanced performance models, as presented in companion papers, a number of basic scientific and mathematical questions arose. This paper deals with questions such as uniqueness, convergence, statistical accuracy, training, and evaluation methodologies. The process of bringing together large data sets and using them, with outside data supplementation, is considered in detail. After these questions are focused carefully, emphasis is placed on how the new models, based on highly refined data processing, can best be used in the design world. The impact of this work on designs of the future is discussed. It is expected that this methodology will allow many designers to move well beyond contemporary design practices.",
• notes = "See also \cite{IMECE2005-79414R3} Concepts NREC White River Jct., Vermont, 05001 USA. Brigham Young University",

}

Genetic Programming entries for David Japikse Oleg Dubitsky Kerry N Oliphant Robert J Pelton Daniel Maynes Jamin Bitter

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