Smooth statistical modeling of bivariate non-monotonic data by a three-stage LUT neural system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-017-3215-1/fulltext.html
Reference37 articles.
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2. Barlow RE, Brunk HD (1972) The isotonic regression problem and its dual. J Am Stat Assoc 67(337):140–147
3. Conolly RB, Lutz WK (2003) Nonmonotonic dose-response relationships: mechanistic basis, kinetic modeling, and implications for risk assessment. Toxicol Sci 77:151–157
4. Domínguez-Menchero JS, González-Rodríguez G (2007) Analyzing an extension of the isotonic regression problem. Metrika 66:19–30
5. Duren RW, Marks RJ II, Reynolds PD, Trumbo ML (2007) Real-time neural network inversion on the SRC-6e reconfigurable computer. IEEE Trans Neural Netw 18(3):889–901
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