Numerical methods of interval analysis in learning neural network

DOI10.1134/S0005117912110082zbMath1271.65085OpenAlexW2018533095MaRDI QIDQ2393053

P. V. Saraev

Publication date: 7 August 2013

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117912110082

zbMATH Keywords

algorithmnumerical examplescomputer-aided experimentsinverse error propagationneural direct-propagation networksquadratic learning performance functional

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) General methods in interval analysis (65G40)

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Cites Work

• Interval standard neural network models for nonlinear systems
• Global robust stability of a class of discrete-time interval neural networks
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