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Machine Learning Control by Symbolic Regression (Hardcover, 1st ed. 2021)
Loot Price: R3,502
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Machine Learning Control by Symbolic Regression (Hardcover, 1st ed. 2021)
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This book provides comprehensive coverage on a new direction in
computational mathematics research: automatic search for formulas.
Formulas must be sought in all areas of science and life: these are
the laws of the universe, the macro and micro world, fundamental
physics, engineering, weather and natural disasters forecasting;
the search for new laws in economics, politics, sociology.
Accumulating many years of experience in the development and
application of numerical methods of symbolic regression to solving
control problems, the authors offer new possibilities not only in
the field of control automation, but also in the design of
completely different optimal structures in many fields. For
specialists in the field of control, Machine Learning Control by
Symbolic Regression opens up a new promising direction of research
and acquaints scientists with the methods of automatic construction
of control systems.For specialists in the field of machine
learning, the book opens up a new, much broader direction than
neural networks: methods of symbolic regression. This book makes it
easy to master this new area in machine learning and apply this
approach everywhere neural networks are used. For mathematicians,
the book opens up a new approach to the construction of numerical
methods for obtaining analytical solutions to unsolvable problems;
for example, numerical analytical solutions of algebraic equations,
differential equations, non-trivial integrals, etc. For specialists
in the field of artificial intelligence, the book offers a machine
way to solve problems, framed in the form of analytical
relationships.
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