DocumentCode
353227
Title
The cellular simultaneous recurrent network adaptive critic design for the generalized maze problem has a simple closed-form solution
Author
Wunsch, Donald
Author_Institution
Lab. of Appl. Comput. Intelligence, Missouri Univ., Rolla, MO, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
79
Abstract
The generalized maze problem has been considered as an interesting testbed by various researchers in AI and neural networks. The most significant results, from a neural networks point of view, were: 1. Simultaneous recurrent networks are necessary if a neural network-based cellular automaton approach to the problem is to be successful. 2. These networks can be designed so that convergence to a correct solution is assured. Here, a simple closed-form solution for the critic is shown, making adaptation unnecessary. Furthermore, it is shown that the design converges to the correct solution in only J steps, and the worst case convergence speed for an N×N mesh is derived
Keywords
cellular automata; cellular neural nets; convergence; recurrent neural nets; cellular simultaneous recurrent network adaptive critic design; generalized maze problem; simple closed-form solution; worst case convergence speed; Adaptive systems; Cellular networks; Cellular neural networks; Closed-form solution; Computational intelligence; Laboratories; Neural networks; Output feedback; Recurrent neural networks; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.861284
Filename
861284
Link To Document