Книга Neural Networks as Positive Linear Operators George A Anastassiou

Neural Networks as Positive Linear Operators

Автор: George A Anastassiou
Език: Английски език
Корици: С твърди корици
Наличност: Външен склад
Изпращаме след 14-21 дни
160.47 313.86 лв
This research monograph presents a groundbreaking unification of neural network approximation theory...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2026
страници
420
EAN
9789819826186
ISBN
9819826187
Enbook ID
50917135
Теглоt
725

Пълно описание

This research monograph presents a groundbreaking unification of neural network approximation theory through the lens of Positive Linear Operators (PLOs). For the first time in the literature, neural network operators and activated convolution operators are rigorously analyzed as PLOs - providing a comprehensive, quantitative framework based on inequalities and the modulus of continuity.

The author develops a general, elegant, and highly versatile theory that applies uniformly to a wide variety of neural and convolution operators, bridging Pure and Applied Mathematics with modern Artificial Intelligence and Machine Learning. The results open new directions for mathematical understanding of neural network approximation, with applications across computational analysis, engineering, statistics, and economics.

This volume is an essential resource for mathematicians, computer scientists, and engineers seeking a rigorous analytical foundation for AI and deep learning models.

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