Fast Deep Belief Propagation: An Efficient Learning-Based Algorithm for Solving Constraint Optimization Problems

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Bibliografske podrobnosti
izdano v:	Mathematics vol. 13, no. 20 (2025), p. 3349-3367
Glavni avtor:	Kong Shufeng
Drugi avtorji:	Chen, Feifan, Wang, Zijie, Liu, Caihua
Izdano:	MDPI AG
Teme:	Propagation Self-supervised learning Message passing Computer memory Convergence Trends Graphics processing units Applications of mathematics Graph representations Optimization Neural networks Damping Recurrent neural networks Approximation Linear programming Algorithms Deep learning Machine learning Cost control Constraints Efficiency Semantics
Online dostop:	Citation/Abstract Full Text + Graphics Full Text - PDF
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