A model of perceptron learning with a hidden layer for engineering design

Shih-Lin Hung*, H. Adeli

*Corresponding author for this work

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

A model of machine learning in engineering design, called PERHID, is presented based on the concept of perceptron learning algorithm with a two-layer neural network. PERHID has been constructed by combining the perceptron with a single-layer AND neural net. The problem of structural design is cast in a form that can be described by a two-layer neural network. Some results from PERHID learning model are presented in tabular form. The paper is concluded by a comparison of the learning by the previously developed single-layer perceptron and PERHID.

Original languageEnglish
Pages (from-to)3-14
Number of pages12
JournalNeurocomputing
Volume3
Issue number1
DOIs
StatePublished - 1 Jan 1991

Keywords

  • Artificial intelligence
  • design
  • machine learning
  • neural network
  • perceptron

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