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Springer Machine Learning Control by Symbolic Regression Book

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Description

Explore a new direction in computational mathematics with Machine Learning Control by Symbolic Regression from Springer. This book covers the automatic search for formulas, a process essential for discovering laws across physics, engineering, weather forecasting, and natural disaster prediction. Drawing on years of experience in developing and applying numerical methods, the authors present new possibilities for using symbolic regression to solve complex control problems. This research extends to diverse fields including economics, politics, and sociology. It serves as a comprehensive guide for those studying the macro and micro worlds through the lens of mathematical discovery and formulaic search.

Key Features

This Springer publication provides comprehensive coverage on the automatic search for formulas in computational mathematics.

The text explores the application of symbolic regression to solve complex control problems.

Authors utilize years of experience in numerical methods to offer new research possibilities in mathematical modeling.

Content covers formula discovery for various fields including fundamental physics, engineering, and weather forecasting.

The book addresses the search for new laws within economics, politics, and sociology.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 October 2022
Listed Since
28 September 2022

Barcode

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