Prediction of material removal rate in wire electrical discharge turning using artificial neural networks and adaptive neuro-fuzzy models
Link to publisher's homepage at http://ijneam.unimap.edu.my
Saved in:
Main Authors: | R., Izamshah, M., Akmal, M., Halim, M. S., Kasim, R., Zamri, M. S., Yob, M. S., A. Aziz, R. S. A., Abdullah |
---|---|
Other Authors: | izamshah@utem.edu.my |
Format: | Article |
Language: | English |
Published: |
Universiti Malaysia Perlis (UniMAP)
2022
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75795 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A simplified adaptive neuro-fuzzy inference system control strategy for PMSM drives
by: Mustafa, Khalid Masood, et al.
Published: (2012) -
Effect of abrasive water jet turning AWJT parameter setting on surface finish of Inconel 718
by: Kasim, M. S., et al.
Published: (2022) -
Estimating residential buildings� energy usage utilising a combination of Teaching�Learning�Based Optimization (TLBO) method with conventional prediction techniques
by: Zheng S., et al.
Published: (2024) -
Dynamic characterization of flexible vibrating structures using Adaptive Neuro-fuzzy Inference System (ANFIS)
by: Ismail, A. Y., et al.
Published: (2009) -
Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
by: Ibrahim K.S.M.H., et al.
Published: (2024)