Specific process models derived from extremely small data sets and general process models

2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL 2004

Volumn , Issue , 2004, Pages 267-272

  Radonja, Pero ^a   Stankovic, Srdjan ^b   Popovic, Zoran ^c  

^a Institute of Forestry   (Macedonia)

^b University of Belgrade   (Serbia)

^c UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Neural networks; Process modeling; Regession problem; Vapnik Chervonenkis dimension

Indexed keywords

ERROR ANALYSIS; FUNCTIONS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; POLYNOMIALS; PROBLEM SOLVING; PROCESS ENGINEERING; REGRESSION ANALYSIS;

DATA SETS; POLYNOMIAL FUNCTIONS; PROCESS MODELING; REGRESSION PROBLEM; VAPNIK-CHERVONENKIS DIMENSIONS;

DATA PROCESSING;

EID: 20944450145     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/neurel.2004.1416592     Document Type: Conference Paper

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