Stochastic sensitivity analysis method for neural network learning

DOI10.1080/00207729508929062zbMath0822.93077OpenAlexW2082384733MaRDI QIDQ4839837

Masato Koda

Publication date: 18 July 1995

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729508929062

zbMATH Keywords

algorithmlearningvariational approachrecurrent neural networksgradient descentstochastic sensitivity analysis

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Stochastic learning and adaptive control (93E35)

Related Items (1)

Bootstrap re-sampling for unbalanced data in supervised learning

Cites Work

• Sensitivity analysis of partial differential equations with application to reaction and diffusion processes
• A learning algorithm to teach spatiotemporal patterns to recurrent neural networks
• Sensitivity analysis of time-delay systems
• Sensitivity analysis of distributed parameter systems
• Sensitivity analysis of stochastic kinetic models

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