| タイトル | A Comparison of Neural Networks and Fuzzy Logic Methods for Process Modeling |
| 本文（外部サイト） | http://hdl.handle.net/2060/19960047083 |
| 著者（英） | Berke, Laszlo; Cios, Krzysztof J.; Sala, Dorel M. |
| 著者所属（英） | NASA Lewis Research Center |
| 発行日 | 1996-07-01 |
| 言語 | eng |
| 内容記述 | The goal of this work was to analyze the potential of neural networks and fuzzy logic methods to develop approximate response surfaces as process modeling, that is for mapping of input into output. Structural response was chosen as an example. Each of the many methods surveyed are explained and the results are presented. Future research directions are also discussed. |
| NASA分類 | Numerical Analysis |
| レポートNO | 96N32865
NASA-TM-107236
E-10280
NAS 1.15:107236 |
| 権利 | No Copyright |
