Approximation of an analog diffusion network with applications to image estimation
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Publication:5925728
DOI10.1023/A:1026485504384zbMath0966.68168OpenAlexW1490508267MaRDI QIDQ5925728
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Publication date: 19 February 2001
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1026485504384
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)
Cites Work
- Stochastic neural networks
- Diffusion for Global Optimization in $\mathbb{R}^n $
- Recursive Stochastic Algorithms for Global Optimization in $\mathbb{R}^d $
- Rates of Convergence for a Class of Global Stochastic Optimization Algorithms
- Asymptotic Global Behavior for Stochastic Approximation and Diffusions with Slowly Decreasing Noise Effects: Global Minimization via Monte Carlo
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