Opening book details…
Can I read Approximation by Neural Networks and Learning Theory on EtoBox?
Approximation by Neural Networks and Learning Theory by V. Maiorov is a Mathematics article available to read on EtoBox.
What is Approximation by Neural Networks and Learning Theory about?
We consider the problem of Learning Neural Networks from samples. The sample size which is sufficient for obtaining the almost-optimal stochastic approximation of function classes is obtained. In the terms of the accuracy confidence function, we show that the least-squares estimator is almost-optimal for the problem. These results can be used to solve Smale's network problem.
Who reads Approximation by Neural Networks and Learning Theory?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- V. Maiorov
- Publisher
- Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0885-064X)
- Published
- 2006
- Language
- EN
- Field
- Mathematics (Physical Sciences)