OBJECT-ORIENTED BACKPROPAGATION AND ITS APPLICATION TO STRUCTURAL DESIGN

被引：67

作者：

HUNG, SL ^{[1
]}

ADELI, H ^{[1
]}

机构：

[1] OHIO STATE UNIV,DEPT CIVIL ENGN,COLUMBUS,OH 43210

来源：

NEUROCOMPUTING | 1994年 / 6卷 / 01期

关键词：

BACKPROPAGATION; OBJECT-ORIENTED PROGRAMMING; STRUCTURAL DESIGN;

D O I：

10.1016/0925-2312(94)90033-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：45 / 55

页数：11

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