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

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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.

This is a digital product.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is written by Dookie Kim and published by Engineering Science Reference. The Digital and eTextbook ISBNs for Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering are 9781522547679, 1522547673 and the print ISBNs are 9781522547662, 1522547665. Additional ISBNs for this eTextbook include 9781522547686.