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

Shih-Lin Hung*, H. Adeli

*此作品的通信作者

研究成果: Article同行評審

27 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)3-14
頁數12
期刊Neurocomputing
3
發行號1
DOIs
出版狀態Published - 1 1月 1991

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