Open AccessANFIS based model to forecast the Wire-EDM parameters for machining an Ultra High Temperature Ceramic composite
Author(s) -
S. Mandal,
Ayan Pramanick,
S. Chakraborty,
Partha Pratim Dey
Publication year - 2018
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/377/1/012088
Subject(s) - adaptive neuro fuzzy inference system , electrical discharge machining , machining , ceramic , spark plasma sintering , artificial neural network , mean squared error , spark (programming language) , materials science , neuro fuzzy , composite number , mechanical engineering , inference system , computer science , fuzzy logic , composite material , fuzzy control system , machine learning , engineering , artificial intelligence , mathematics , statistics , programming language