Object-oriented backpropagation and its application to structural design

Shih-Lin Hung, H. Adeli*

*此作品的通信作者

研究成果: Article同行評審

65 引文 斯高帕斯(Scopus)

摘要

A multilayer neural network development environment, called ANNDE, is presented for implementing effective learning algorithms for the domain of engineering design using the object-oriented programming paradigm. It consists of five primary components: learning domain, neural nets, library of learning strategies, learning process, and analysis process. These components have been implemented as five classes in two object-oriented programming languages C++ and G++. The library of learning strategies includes generalized delta rule with error backpropagation. Several examples are presented for learning in the domain of structural engineering.

原文English
頁(從 - 到)45-55
頁數11
期刊Neurocomputing
6
發行號1
DOIs
出版狀態Published - 2月 1994

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