Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Kim, Dookie
Sekhar Roy, Sanjiban
Länsivaara, Tim

Hardcover

Technology & EngineeringGeneral Computers

Publisher Price: $355.00

ISBN10: 1522547665
ISBN13: 9781522547662
Publisher: Medical Information Science Re
Published: Jun 15 2018
Pages: 576
Weight: 3.92
Height: 1.38 Width: 8.50 Depth: 11.00
Language: English
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.

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