Neural Networks As Positive Linear Operators: 28 (Series on Concrete and Applicable Mathematics) - Image 1

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World Scientific Publishing Company Neural Networks As Positive Linear Operators: 28 (Series on Concrete and Applicable Mathematics)

Name: Neural Networks As Positive Linear Operators: 28 (Series on Concrete and Applicable Mathematics)
Brand: World Scientific Publishing Company
Price: 110.35 GBP
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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.

Product Specifications

Brand: World Scientific Publishing Company
Format: hardcover
ASIN: 9819826187
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 13 March 2026
Listed Since: 13 January 2026

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New to our records — first sighting 20 days ago. We'll learn its rhythm.

World Scientific Publishing Company Neural Networks As Positive Linear Operators: 28 (Series on Concrete and Applicable Mathematics)

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