A model of perceptron learning with a hidden layer for engineering design
NeurocomputingPublished 1 August 1991
Shih‐Lin Hung, Hojjat Adeli
Citations26
SJR quartileQ1
SJR score1.47
SNIP1.94
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TL;DR
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, and a comparison of the learning by the previously developed single-layer perceptron is compared.
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.
Keywords
Computer Science
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