Title :
Estimating Complexity of Classification Tasks Technology Using Neurocomputers
Author :
Budnyk, Ivan ; Chebira, Abdennasser ; Madani, Kurosh
Author_Institution :
Paris XII Univ., Lieusaint
Abstract :
This paper presents an alternative approach for estimating task complexity. Construction of a self-organizing neural tree structure, following the paradigm "divide and rule", requires knowledge about task complexity. Our aim is to determine complexity indicator function and to hallmark its\´ main properties. Described approach uses IBMcopy zero instruction set computer (ZISC-036reg).
Keywords :
instruction sets; pattern classification; self-organising feature maps; tree data structures; IBM zero instruction set computer; classification tasks technology; neurocomputers; self-organizing neural tree structure; task complexity; Computer aided instruction; Computer networks; DNA computing; Databases; Modular construction; Neural networks; Neurons; Prototypes; RNA; Tree data structures; DNA (Deoxyribonucleic acid); IBM© Zero Instruction Set Computer (ZISC®) Neurocomputer; Neural tree modular architecture; RNA (Ribonucleic acid); exon; intron; splice junctions;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
Conference_Location :
Dortmund
Print_ISBN :
978-1-4244-1347-8
Electronic_ISBN :
978-1-4244-1348-5
DOI :
10.1109/IDAACS.2007.4488406
