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 :
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