Title :
A self-organizing evolving algorithm combined with a transient chaotic neural network
Author :
Zhang, Yifeng ; He, Zhenya ; Wei, Chengjian ; Yang, Luxi
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
A new multi-stage self-organizing channel assignment algorithm combined with a transiently chaotic neural network (TCNN) is proposed. The performance is greatly improved by progressively initializing a mutual inhibition technique that is based on the mechanisms of bristle differentiation. The simulation results show our proposed algorithm improves greatly performance, while the convergence rate iteration numbers are comparable to existing algorithms
Keywords :
channel allocation; chaos; neural nets; self-adjusting systems; bristle differentiation; convergence rate iteration numbers; multi-stage self-organizing channel assignment algorithm; mutual inhibition technique; self-organizing evolving algorithm; simulation; transient chaotic neural network; Artificial neural networks; Base stations; Chaos; Dynamic programming; Helium; Heuristic algorithms; Interference constraints; Neural networks; Neurodynamics; Simulated annealing;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925378
