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Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach, Khandelwal Dhruv


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Автор: Khandelwal Dhruv
Название:  Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach
ISBN: 9783030903428
Издательство: Springer
Классификация:



ISBN-10: 3030903427
Обложка/Формат: Hardcover
Страницы: 256
Вес: 0.54 кг.
Дата издания: 07.03.2022
Серия: Springer theses
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 49 illustrations, color; 25 illustrations, black and white; xxiii, 229 p. 74 illus., 49 illus. in color.
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Professional & vocational
Подзаголовок: An evolutionary computation approach
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user’s perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification.
Дополнительное описание: Introduction.- The State-of-the-art.- Preliminaries - Evolutionary Algorithms.- Tree Adjoining Grammar.- Performance measures.



Automating the Design of Data Mining Algorithms

Автор: Gisele L. Pappa; Alex Freitas
Название: Automating the Design of Data Mining Algorithms
ISBN: 3642261256 ISBN-13(EAN): 9783642261251
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This unique text seeks to automate the design of a data mining algorithm. It first overviews data mining and evolutionary algorithms then discusses the design of a new genetic programming system for automating the design of full rule induction algorithms.

Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry

Автор: Federico Rossi; Stefano Piotto; Simona Concilio
Название: Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry
ISBN: 3319577107 ISBN-13(EAN): 9783319577104
Издательство: Springer
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Цена: 8384.00 р.
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Описание: They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modelling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.

Automating Business Modelling

Автор: Yun-Heh Chen-Burger; Dave Robertson
Название: Automating Business Modelling
ISBN: 1849969345 ISBN-13(EAN): 9781849969345
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Enhances the use of enterprise models as an effective communication medium between business and technical personnel. Details the blue-print of the to-be developed business system.

Automating Knowledge Acquisition for Expert Systems

Автор: Sandra Marcus
Название: Automating Knowledge Acquisition for Expert Systems
ISBN: 1468471244 ISBN-13(EAN): 9781468471243
Издательство: Springer
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Цена: 6986.00 р.
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Описание: In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems.

Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science

Автор: Jin Yaochu, Wang Handing, Sun Chaoli
Название: Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science
ISBN: 3030746399 ISBN-13(EAN): 9783030746391
Издательство: Springer
Цена: 22359.00 р.
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Описание: This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms.

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642263232 ISBN-13(EAN): 9783642263231
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation

Автор: Keller
Название: Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation
ISBN: 1119214343 ISBN-13(EAN): 9781119214342
Издательство: Wiley
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Цена: 15682.00 р.
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Описание: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.

Advances in Artificial Life, Evolutionary Computation and Systems Chemistry

Автор: Federico Rossi; Fabio Mavelli; Pasquale Stano; Dan
Название: Advances in Artificial Life, Evolutionary Computation and Systems Chemistry
ISBN: 3319326945 ISBN-13(EAN): 9783319326948
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This bookconstitutes the revised selected papers of the 10th Italian Workshop onAdvances in Artificial Life, Evolutionary Computation and Systems Chemistry,WIVACE 2015, held at Bari, Italy, in September 2015.The 18papers presented have been thoroughly reviewed and selected from 45submissions.

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642123457 ISBN-13(EAN): 9783642123450
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Algebraic and Symbolic Computation Methods in Dynamical Systems

Автор: Quadrat Alban, Zerz Eva
Название: Algebraic and Symbolic Computation Methods in Dynamical Systems
ISBN: 3030383555 ISBN-13(EAN): 9783030383558
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Combined with real algebraic geometry, which was previously introduced in control theory, the past years have seen a flourishing development of algebraic methods in control theory.

Algebraic and Symbolic Computation Methods in Dynamical Systems

Автор: Quadrat Alban, Zerz Eva
Название: Algebraic and Symbolic Computation Methods in Dynamical Systems
ISBN: 303038358X ISBN-13(EAN): 9783030383589
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Combined with real algebraic geometry, which was previously introduced in control theory, the past years have seen a flourishing development of algebraic methods in control theory.

Methods of Mathematical Modelling and Computation for Complex Systems

Автор: Singh Jagdev, Dutta Hemen, Kumar Devendra
Название: Methods of Mathematical Modelling and Computation for Complex Systems
ISBN: 3030771687 ISBN-13(EAN): 9783030771683
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book contains several contemporary topics in the areas of mathematical modelling and computation for complex systems. The readers find several new mathematical methods, mathematical models and computational techniques having significant relevance in studying various complex systems. The chapters aim to enrich the understanding of topics presented by carefully discussing the associated problems and issues, possible solutions and their applications or relevance in other scientific areas of study and research. The book is a valuable resource for graduate students, researchers and educators in understanding and studying various new aspects associated with complex systems. Key Feature • The chapters include theory and application in a mix and balanced way. • Readers find reasonable details of developments concerning a topic included in this book. • The text is emphasized to present in self-contained manner with inclusion of new research problems and questions.


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