Title :
Evaluation of fuzzy-nets training efficiency
Author :
Lin, Nan-hui ; Chen, Joseph C.
Author_Institution :
Dept. of Ind. & Manuf. Syst. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
How can fuzzy-nets technology perform with greater accuracy and efficiency? The purpose of this paper is to identify the optimal factor-level combinations of a simulation model using the backing up of a truck. Taguchi Parameter Design with an L0 (34) orthogonal array was employed to diminish the number of treatment runs
Keywords :
digital simulation; fuzzy neural nets; learning (artificial intelligence); optimisation; performance evaluation; road vehicles; Taguchi Parameter Design; fuzzy neural network training efficiency; optimal factor-level combinations; orthogonal array; performance evaluation; simulation model; truck; Analysis of variance; Design for experiments; Educational technology; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Manufacturing industries; Modeling; Neural networks; Testing;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583597
