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Computational aspects of Kolmogorov's superposition theorem
Neural Networks (1994)
  • Hidefumi Katsuura, San Jose State University
  • David A. Sprecher
Abstract
This paper continues the investigation of representations of continuous functions f(x1, …, xn) with n ≥ 2 in the form f(X1,…,Xn) = ∑2nq=0Φq[∑np=1λ1ψ(xp + qen with a predetermined function ψ that is independent of n. The function ψ is defined through its graph that is the limit point of iterated contraction mappings. The functions ψ and Φq are the uniform limits of sequences of computable functions constructed with a fixed mapping σ, which itself can be approximated with sigmoid functions.
Keywords
  • Superpositions,
  • Kolmogorov,
  • Contraction mapping,
  • Representation of continuous functions of several variables,
  • Approximation of functions
Disciplines
Publication Date
1994
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases
Citation Information
Hidefumi Katsuura and David A. Sprecher. "Computational aspects of Kolmogorov's superposition theorem" Neural Networks Vol. 7 Iss. 3 (1994)
Available at: http://works.bepress.com/hidefumi_katsuura/7/