caa a22 4500 477072844 CHVBK 20180405111431.0 cr unu---uuuuu 170330e19960301xx s 000 0 eng 10.1007/BF01413867 doi (NATIONALLICENCE)springer-10.1007/BF01413867 Automated fuzzy knowledge acquisition with connectionist adaptation [Elektronische Daten] [X. Yu, J. Smith, M. Mohammadian] This paper presents an automated knowledge acquisition architecture for the truck docking problem. The architecture consists of a neural network block, a fuzzy rule generation block and a genetic optimisation block. The neural network block is used to quickly and adaptively learn from trials the driving knowledge. The fuzzy rule generation block then extracts the driving knowledge to form a knowledge rule base. The driving knowledge rule base is further optimised in the genetic optimisation block using a genetic algorithm. Computer simulations are presented to show the effectiveness of the architecture. Springer-Verlag London Limited, 1996 Fuzzy logic nationallicence Genetic algorithms nationallicence Knowledge acquisition nationallicence Learning nationallicence Neural networks nationallicence Optimisation nationallicence Yu X. Department of Mathematics and Computing, Central Queensland University, QLD 4702, Rockhampton, Australia aut Smith J. Department of Mathematics and Computing, Central Queensland University, QLD 4702, Rockhampton, Australia aut Mohammadian M. Department of Computer Science, Edith Cowan University, Perth, Australia aut Neural Computing & Applications Springer-Verlag 4/1(1996-03-01), 27-34 0941-0643 4:1<27 1996 4 521 https://doi.org/10.1007/BF01413867 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01413867 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yu X. Department of Mathematics and Computing, Central Queensland University, QLD 4702, Rockhampton, Australia aut NATIONALLICENCE 700 1- Smith J. Department of Mathematics and Computing, Central Queensland University, QLD 4702, Rockhampton, Australia aut NATIONALLICENCE 700 1- Mohammadian M. Department of Computer Science, Edith Cowan University, Perth, Australia aut NATIONALLICENCE 773 0- Neural Computing & Applications Springer-Verlag 4/1(1996-03-01), 27-34 0941-0643 4:1<27 1996 4 521 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer