USING GENETIC ALGORITHMS FOR AN ARTIFICIAL NEURAL-NETWORK MODEL INVERSION

Fulltext present in this item

Format: PDF

Description: publisher's version

Title:	USING GENETIC ALGORITHMS FOR AN ARTIFICIAL NEURAL-NETWORK MODEL INVERSION
Author(s):	Deweijer, A.P.; Lucasius, C.B.; Buydens, L. ; Kateman, G.; Heuvel, H.M.
Publication year:	1993
Source:	Chemometrics and Intelligent Laboratory Systems, vol. 20, iss. 1, (1993), pp. 45-55
ISSN:	0169-7439
Publication type:	Article / Letter to editor
Please use this identifier to cite or link to this item : http://hdl.handle.net/2066/112328
Display more details
Subject:	Analytical Chemistry
Organization:	Analytical Chemistry
Journal title:	Chemometrics and Intelligent Laboratory Systems
Volume:	vol. 20
Issue:	iss. 1
Page start:	p. 45
Page end:	p. 55

Faculty of Science [25967]
Open Access publications [48443]
Freely accessible full text publications
Electronic publications [75639]
Freely accessible full text publications plus those not yet available due to embargo
Academic publications [166403]
Academic output Radboud University