Title :
Recurrent neural networks with chaos for storing and retrieving information
Author :
Dmitriev, Alexandr S. ; Kuminov, Dmitry A.
Author_Institution :
Inst. of Radio Eng. & Electron., Acad. of Sci., Moscow, Russia
Abstract :
The models studied in this report allow realization of a set of basic functions of information processing using chaos and complex dynamics, such as: storing and retrieving information;. realization of associative memory; image recognition based on the use of storing on unstable cycles. The discussed models should be noted for their considerable information capacity and high computational efficiency along with a limited number of interconnections
Keywords :
chaos; content-addressable storage; image recognition; limit cycles; recurrent neural nets; associative memory; chaos; complex dynamics; high computational efficiency; image recognition; information capacity; information processing; information retrieval; information storage; recurrent neural networks; unstable cycles; Artificial neural networks; Chaos; Image retrieval; Information retrieval; Limit-cycles; Mathematical model; Neural network hardware; Neural networks; Piecewise linear techniques; Recurrent neural networks;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location :
Rostov on Don
Print_ISBN :
0-7803-2512-5
DOI :
10.1109/ISNINC.1995.480896
