Perceptron Learning in Engineering Design
Hojjat Adeli, Chung‐Hsing Yeh · Computer-Aided Civil and Infrastructure Engineering · 1989
A model of machine learning in engineering design is presented based on the concept of self-adjustment of internal control parameters and perceptron. A perceptron is defined as a four-tuple entity which can answer either “yes” or “no” in the problem domain. The problem of structural design is cast in a form that can be described by a perceptron without hidden units. Some results from our experimentation are presented in tabular form. The paper is concluded by a comparison of perceptron and explanation-based learning.