Description

Book Synopsis
Describes various approximation theoretic properties of ridge functions. The book also discusses properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed.

Table of Contents
  • Properties of linear combinations of ridge functions
  • The smoothness problem in ridge function representation
  • Approximation of multivariate functions by sums of univariate functions
  • Generalized ridge functions and linear superpositions
  • Applications to neural networks
  • Bibliography
  • Index

Ridge Functions and Applications in Neural

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    £98.10

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    RRP £109.00 – you save £10.90 (10%)

    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Paperback by Vugar E. Ismailov

    15 in stock


      View other formats and editions of Ridge Functions and Applications in Neural by Vugar E. Ismailov

      Publisher: MP-AMM American Mathematical
      Publication Date: 2/28/2022 12:00:00 AM
      ISBN13: 9781470467654, 978-1470467654
      ISBN10: 1470467658

      Description

      Book Synopsis
      Describes various approximation theoretic properties of ridge functions. The book also discusses properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed.

      Table of Contents
      • Properties of linear combinations of ridge functions
      • The smoothness problem in ridge function representation
      • Approximation of multivariate functions by sums of univariate functions
      • Generalized ridge functions and linear superpositions
      • Applications to neural networks
      • Bibliography
      • Index

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