Tarkhov Dmitriy (7 results)

Semi-empirical Neural Network Modeling and Digital Twins Development
Tarkhov, Dmitriy; Lazovskaya, T. V.; Vasilyev, Alexander Nikolayevich
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Semi-empirical Neural Network Modeling and Digital Twins Development
Tarkhov, Dmitriy; Lazovskaya, T. V.; Vasilyev, Alexander Nikolayevich
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 157.41
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 154.94
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Condition: New. In English.

Semi-empirical Neural Network Modeling and Digital Twins Development
Tarkhov, Dmitriy; Lazovskaya, T. V.; Vasilyev, Alexander Nikolayevich
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 155.41
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Condition: As New. Unread book in perfect condition.

Semi-empirical Neural Network Modeling and Digital Twins Development
Tarkhov, Dmitriy; Lazovskaya, T. V.; Vasilyev, Alexander Nikolayevich
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 154.93
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Condition: New.

- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 151.59
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Kartoniert / Broschiert. Condition: New. Offers a new approach to neural networks using a unified simulation model at all stages of design and operation Illustrates this new approach with numerous concrete examples throughout the book Presents the methodology in separate.

- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest.…