Application of modified neural network weights' matrices explaining determinants of foreign investment patterns in the emerging markets

Darius Plikynas*, Yusaf H. Akbar

*Corresponding author for this work

Research output: Contribution to Book/Report typesConference contributionpeer-review

Abstract (may include machine translation)

Quantitatively examining determinants of foreign direct investment (FDI) in Central and East Europe (CEE) is an important research area. Traditional linear regression approaches have had difficulty in achieving conceptually and statistically reliable results. The key tasks addressed in this research are a neural network (NN) based (i) FDI forecasting model and (ii) nonlinear evaluation of the determinants of FDI, We have explored various modified backprop NN weights' matrices and distinguished some nontraditional NN topologies. In terms of MSB and R-squared criteria, we found and checked relationship between modified NN input weights and FDI determinants weights. Results indicate that NN approaches better able to explain FDI determinants' weights than traditional regression methodologies. Our findings are preliminary but offer important and novel implications for future research in this area including more detailed comparisons across sectors as well as countries over time.

Original languageEnglish
Title of host publicationMICAI 2005
Subtitle of host publicationAdvances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings
EditorsAlexander Gelbukh, Álvaro Albornoz, Hugo Terashima-Marín
PublisherSpringer Berlin Heidelberg
Pages721-730
Number of pages10
ISBN (Print)3540298967, 9783540298960
DOIs
StatePublished - 2005
Externally publishedYes
Event4th Mexican International Conference on Artificial Intelligence, MICAI 2005 - Monterrey, Mexico
Duration: 14 Nov 200518 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3789 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th Mexican International Conference on Artificial Intelligence, MICAI 2005
Country/TerritoryMexico
CityMonterrey
Period14/11/0518/11/05

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