Handbook of research on predictive modeling and optimization methods in science and engineering

Edited book


Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) 2018. Handbook of research on predictive modeling and optimization methods in science and engineering. United States. IGI Global.
Book Title

Handbook of research on predictive modeling and optimization methods in science and engineering

Book CategoryEdited book
ERA Publisher ID2177
EditorsKim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush
Number of Pages576
Year2018
PublisherIGI Global
Place of PublicationUnited States
ISBN9781522547662
9781522547679
Digital Object Identifier (DOI)https://doi.org/10.4018/978-1-5225-4766-2
Web Address (URL)https://www.igi-global.com/book/handbook-research-predictive-modeling-optimization/185480?f=hardcover#table-of-contents
Abstract

The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers.

The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

ANZSRC Field of Research 2020460510. Recommender systems
469999. Other information and computing sciences not elsewhere classified
460207. Modelling and simulation
Institution of OriginUniversity of Southern Queensland
Byline AffiliationsKunsan National University, Korea
VIT University, India
Tampere University of Technology, Finland
School of Agricultural, Computational and Environmental Sciences
National Institute of Technology Patna, India
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