Dynamic behavioral assessment model based on Hebb learning rule-Reference-Cited by-同舟云学术

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Dynamic behavioral assessment model based on Hebb learning rule

Published:2016-05-18 Issue:S1 Volume:28 Page:245-257
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Yin Yunfei,Yuan Hailong,Zhang Beilei

Funder

Basic Research on the Frontier and Application of Chongqing City

Fundamental Research Funds for the Central Universities

Jiangsu Key Laboratory of Meteorological Observation and Information Processing

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2341-5/fulltext.html

Reference23 articles.

1. Xenias D, Axon CJ, Whitmarsh L (2015) UK smart grid development: an expert assessment of the benefits, pitfalls and functions. Renew Energy 81:89–102

2. Teferra K, Shields MD, Hapij A (2014) Mapping model validation metrics to subject matter expert scores for model adequacy assessment. Reliab Eng Syst Saf 132:9–19

3. Nishijima T, Llorens-Martin M, Sanchez Tejeda G et al (2013) Cessation of voluntary wheel running increases anxiety-like behavior and impairs adult hippocampal neurogenesis in mice. Behav Brain Res 245:34–41

4. Stein DS, Munir KM, Karweck AJ (2013) Developmental regression, depression, and psychosocial stress in an adolescent with Down syndrome. J Dev Behav Pediatr 34(3):216–218

5. Kaplanski G, Levy H (2015) Value-at-risk capital requirement regulation, risk taking and asset allocation: a mean–variance analysis. Eur J Finance 21(3):215–241

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