A Self Progressing Fuzzy Rule-Based System for Optimizing and Predicting Machining Process
Author:
Iqbal Asif,Dar Naeem U.
Publisher
Springer Netherlands
Reference15 articles.
1. L. Monostori, AI and machine learning techniques for managing complexity, changes, and uncertainty in manufacturing, Eng. Appl. Artif. Intell., 16: 277–291 (2003)
2. J.L. Castro, J.J. Castro-Schez, and J.M. Zurita, Use of a fuzzy machine learning technique in the knowledge-acquisition process, Fuzzy Sets Syst., 123: 307–320 (2001)
3. H. Lounis, Knowledge-based systems verification: A machine-learning based approach, Expert Syst. Appl., 8(3) 381–389 (1995)
4. K.C. Chan, A comparative study of the MAX and SUM machine-learning algorithms using virtual fuzzy sets, Eng. Appl. Artif. Intell., 9(5): 512–522 (1996)
5. G.I. Webb, Integrating machine learning with knowledge-acquisition through direct interaction with domain experts, Knowl-Based Syst., 9: 253–266 (1996)