Hybrid, fuzzy and neural adaptation in case-based reasoning system for process equipment selection

被引：6

作者：

Koiranen, T ^{[1
]}

Virkki-Hatakka, T ^{[1
]}

Kraslawski, A ^{[1
]}

Nystrom, L ^{[1
]}

机构：

[1] Lappeenranta Univ Technol, Dept Chem Technol, FIN-53851 Lappeenranta, Finland

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1998年 / 22卷

关键词：

D O I：

10.1016/S0098-1354(98)00199-9

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Adaptation is the most difficult step in case-based reasoning. There are no general methods for the modification of the retrieved cases to fit the actual design problem. The use of new, context independent technique is an important research subject. In the paper, a hybrid adaptation system is proposed. Its main components are based or; fuzzy logic and neural networks. The applicability of the proposed adaptation methods is examined in preliminary design of mixing system. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：S997 / S1000

页数：4

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