H. White’s scientific contributions

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Multilayer feedforward networks are universal approximator
  • Article

January 1989

·

1,515 Reads

·

12,082 Citations

Neural Networks

KM Hornik

·

M. Stinchcomb

·

H. White

Citations (1)


... 4 The choice of one hidden layer is justified by the following reasons: first, the seven inputs suggest a less large dataset and, therefore, a simpler network. Second, mathematically, neural networks with only one hidden layer can approximate any function accurately if the number of neurons is large enough [32,33]. As commonly applied in ANNs and to minimize the effect of outliers, each of the variables included in the dataset is feature-scaled, between 0 and 1, using a min-max normalization approach: ...

Reference:

Enhancing Climate Action Evaluation Using Artificial Neural Networks: An Analysis of SDG 13
Multilayer feedforward networks are universal approximator
  • Citing Article
  • January 1989

Neural Networks