Analysis on Children Custody Decision Making Model

DOI

10.2991/iccsee.2013.663How to use a DOI?

Keywords

legal expert system, custody disputes,neural network, best interest of child

Abstract

Children custody disputes are complicated for many judges owing to so many dynamic factors should to be considered. This paper proposes a novel model for legal expert system Based on LVQ Neural Network. Firstly, all clauses and discretionary factors, extracted from theories and judicial practice, involved with custody disputes in divorce were quantified to obtain related set elements. Then the LVQ neural network was applied to construct a model for children custody disputes weight vector analysis on the set elements. Ultimately, the weight vector close to decision boundaries between classes could promote the classification performance. Accordingly, the performance of the LVQ by generating weight vectors close to decision boundaries is higher. By testing, custody disputes legal expert system could consider all relevant circumstances from a good all-around point of view and effectively.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Gu
AU  - Guangming Zhang
PY  - 2013/03
DA  - 2013/03
TI  - Analysis on Children Custody Decision Making Model
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2660
EP  - 2666
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.663
DO  - 10.2991/iccsee.2013.663
ID  - Gu2013/03
ER  -