Analysis on Children Custody Decision Making Model

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.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1247-1255
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1247
• Online since: August 2013
• Authors: Yi Gu, Guang Ming Zhang
• Keywords: Best Interest of Child, Custody Disputes, Legal Expert System, Neural Network (NN)

References

[1] C. J. A. Beck, M. E. Walsh, M. B. Mechanic, C. S. Taylor. Mediator Assessment, Documentation, and Disposition of Child Custody Cases Involving Intimate Partner Abuse: A Naturalistic Evaluation of One County's Practices, Law Hum Behav (2010).

DOI: 10.1007/s10979-009-9181-0

[2] E. E. Wynne, JD. Children's Rights and the Biological Bias in Biological Parent Versus Third-Party Custody Disputes. Child Psychiatry and Human Development, Vol27(3), pp.179-191. Spring (1997).

DOI: 10.1007/bf02353697

[3] E. Willemsen, R. Andrews, B. Karlin, and M. Willemsen. The Ethics of the Child Custody Process: Are the American Law Institute's Guidelines the Answer? Child and Adolescent Social Work Journal, Vol. 22(2), April 2005, pp.183-211.

DOI: 10.1007/s10560-005-3417-8

[4] M. Cancian and D. Meyer. Who gets custody? Demography, 1998. vol35(2): 147-157.

DOI: 10.2307/3004048

[5] J. B. Rohrbaug. A Comprehensive Guide to Child Custody Evaluations: Mental Health and Legal Perspectives. Spring, 2008, pp.43-56.

[6] V. Elizabeth, N. Gavey, J. Tolmie. Between a Rock and a Hard Place: Resident Mothers and the Moral Dilemmas they Face During. Fem Leg Stud (2010) 18: 253–274.

DOI: 10.1007/s10691-010-9159-9

[7] S. B. Kamerman. Child, Family, and State: The Relationship Between Family Policy and Social Protection Policy. Children's Well-Being: Indicators and Research, (2010) 18: 429–437.

DOI: 10.1007/978-90-481-3377-2_23

[8] Seongwon Cho and Jaemin Kim, Iris Recognition Using LVQ Neural Network. Lecture Notes in Computer Science(LNCS) 3972, pp.26-33, (2006).

DOI: 10.1007/11760023_5

[9] Jing-Xin Wang, Zhi-Ying Wang, and Kui-Dai. Intrusion Alert Analysis Based on PCA and the LVQ Neural Network. Lecture Notes in Computer Science(LNCS) 4234, pp.217-224, (2006).

DOI: 10.1007/11893295_25

[10] M. K. Bashar, N. Ohnishi, T. Matsumoto, Y. Takeuchi, H. Kudo, K. Agusa. Image retrieval by pattern categorization using wavelet domain perceptual features with LVQ neural network. Pattern Recognition Letters 26 (2005) 2315–2335.

DOI: 10.1016/j.patrec.2005.04.009

[11] Marital Law of PRC on http: /www. npc. gov. cn.

[12] Interpretation on child custody disputes of the Supreme People's Court of PRC on http: /www. court. gov. cn.

[13] F. Burton: Family Law. (Cavendish Publishing Limited, Great Britan 2003).

[14] R.E. Oliphant, N.V. Steegh: Work of the Family Lawyer. (Aspen Publishers, New York, 2004).

[15] L.J. Harris; L.E. Teitelbaum; J. Carbone: Family Law. ( Aspen Publishers, New York, 2005).

[16] Alison Diduck: Law's Family. (LexisNexis UK, 2003).

[17] Oskamp and Lauritsen: AI in law and practice? So far, not much, Artificial intelligence and law. Vol. 10(2002), pp.227-236.

DOI: 10.1023/a:1025402013007

[18] C. Stevens, V. Barot, and J. Carter: The Next Generation of Legal Expert Systems-New Dawn or False Dawn?, Research and Development in Intelligent Systems XXVII, Springer-Verlag London (2011).

DOI: 10.1007/978-0-85729-130-1_33