8 October 2007 Parallel hierarchical method in networks
Author Affiliations +
This method of parallel-hierarchical Q-transformation offers new approach to the creation of computing medium - of parallel -hierarchical (PH) networks, being investigated in the form of model of neurolike scheme of data processing [1-5]. The approach has a number of advantages as compared with other methods of formation of neurolike media (for example, already known methods of formation of artificial neural networks). The main advantage of the approach is the usage of multilevel parallel interaction dynamics of information signals at different hierarchy levels of computer networks, that enables to use such known natural features of computations organization as: topographic nature of mapping, simultaneity (parallelism) of signals operation, inlaid cortex, structure, rough hierarchy of the cortex, spatially correlated in time mechanism of perception and training [5].
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olha V. Malinochka, Leonid Tymchenko, "Parallel hierarchical method in networks", Proc. SPIE 6700, Mathematics of Data/Image Pattern Recognition, Compression, Coding, and Encryption X, with Applications, 67000L (8 October 2007); doi: 10.1117/12.730529; https://doi.org/10.1117/12.730529

Image processing

Image analysis

Neural networks

Signal processing

Artificial neural networks

Associative arrays

Computer networks


Layered optical processing architectures
Proceedings of SPIE (July 01 1992)
Neural networks in scene analysis
Proceedings of SPIE (August 01 1990)
Web traffic prediction with artificial neural networks
Proceedings of SPIE (February 23 2005)

Back to Top