This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Universal Approximation of an Unknown Mapping And Its Derivatives Using Multilayer Feedforward Networks

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Kurt Hornik
Maxwell Stinchcombe
Halbert White

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Department of Economics, UC San Diego in its series University of California at San Diego, Economics Working Paper Series with number 89-36r.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Feb 1990
Date of revision:
Handle: RePEc:cdl:ucsdec:89-36r

Contact details of provider:
Postal: 9500 Gilman Drive, La Jolla, CA 92093-0508
Phone: (858) 534-3383
Fax: (858) 534-7040
Web page: http://repositories.cdlib.org/ucsdecon/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Jamsheed Shorish & Stephen E. Spear, 2005. "Shaking the tree: an agency-theoretic model of asset pricing," Annals of Finance, Springer, vol. 1(1), pages 51-72, 01. [Downloadable!] (restricted)
    Other versions:
  2. Mikael Bask & Tung Liu & Anna Widerberg, 2006. "The Stability of Electricity Prices: Estimation and Inference of the Lyapunov Exponent," Working Papers 200603, Ball State University, Department of Economics, revised Apr 2006. [Downloadable!]
    Other versions:
  3. Francisco J. Delgado, 2005. "Measuring efficiency with neural networks. An application to the public sector," Economics Bulletin, Economics Bulletin, vol. 3(15), pages 1-10. [Downloadable!]
  4. D. van Dijk & T. Terasvirta & P.H. Franses, 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Report 200, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:
  5. J.F. Kaashoek & H.K. Van Dijk, 2001. "Neural networks as econometric tool," Econometric Institute Report 213, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:
  6. Norman R. Swanson & Halbert White, 1995. "A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks," Macroeconomics 9503004, EconWPA. [Downloadable!]
    Other versions:
  7. Heather M. Anderson, 2002. "Choosing Lag Lengths in Nonlinear Dynamic Models," Monash Econometrics and Business Statistics Working Papers 21/02, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  8. René Garcia & Ramazan Gençay, 1998. "Pricing and Hedging Derivative Securities with Neural Networks and a Homogeneity Hint," CIRANO Working Papers 98s-35, CIRANO. [Downloadable!]
    Other versions:
  9. F. Gonzalez Miranda, N. Burgess, 1997. "Modelling market volatilities: the neural network perspective," European Journal of Finance, Taylor and Francis Journals, vol. 3(2), pages 137-157, June. [Downloadable!] (restricted)
  10. R. Glen Donaldson & Mark Kamstra, . "Forecasting Fundamental Asset Return Distributions," Computing in Economics and Finance 1997 176, Society for Computational Economics. [Downloadable!]
Statistics
Access and download statistics

Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.

This page was last updated on 2009-11-17.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.