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 |
| 卷 | 6 |
| 發行號 | 1 |
| DOIs | |
| 出版狀態 | Published - 2月 1994 |