Title :
Complexity bounds of emerging structures in self-organizing networks
Author :
Hoffmann, Achim G.
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Kensington, NSW, Australia
Abstract :
The idea of self-organizing systems is to acquire a meaningful internal structure just by being exposed to some ´natural´ environment. Due to the complex network dynamics it appears very hard to analyze the structures that may emerge in such a system. Results on the complexity of classification functions and the preconditions necessary in order to allow the computation of such functions are presented.
Keywords :
pattern classification; self-organising feature maps; classification functions; complex network dynamics; complexity bounds; emerging structures; meaningful internal structure; preconditions; self-organizing networks; Australia; Complex networks; Computer science; Electronic mail; Feature extraction; Feedback; Information resources; Intelligent networks; Neurons; Self-organizing networks;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.713957
