Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network

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Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network

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Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/relaxed-conditions-for-convergence-analysis-of-online-back-propagation-algorithm-with-l2-regularizer-for-sigma-pi-sigma-
MLA “Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/relaxed-conditions-for-convergence-analysis-of-online-back-propagation-algorithm-with-l2-regularizer-for-sigma-pi-sigma-.
BibTeX @misc{4ortxyz_relaxed-conditions-for-convergence-analysis-of-online-back-propagation-algorithm-with-l2-regularizer-for-sigma-pi-sigma-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network}}, year = {2026}, url = {https://4ort.xyz/entity/relaxed-conditions-for-convergence-analysis-of-online-back-propagation-algorithm-with-l2-regularizer-for-sigma-pi-sigma-}, note = {Accessed: 2026-05-24}}
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