Optimisation and prediction of machining parameters in EDM for Al-ZrO2 using soft computing techniques with Taguchi method
G. Aswin Ramaswamy, Amal Krishna, M. Gautham, S.S. Sudharshan and J. Gokulachandran
| Year of publication: |
2021
|
|---|---|
| Authors: | Ramaswamy, G. Aswin ; Krishna, Amal ; Gautham, M. ; Sudharshan, S. S. ; Gokulachandran, J. |
| Published in: |
International journal of process management and benchmarking : IJPMB. - Genève : Inderscience Enterprises, ISSN 1741-816X, ZDB-ID 2205246-X. - Vol. 11.2021, 6, p. 864-890
|
| Subject: | ANN | artificial neural network | fuzzy logic | optimisation | prediction | Taguchi method | Fuzzy-Set-Theorie | Fuzzy sets | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Mathematische Optimierung | Mathematical programming | Algorithmus | Algorithm |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJPMB.2021.118323 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012672202