Day 29 neural network heuristic nature

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Topic : Neural Network Heuristic Nature

Article Source :

• Optimization of neural-network model using a meta-heuristic algorithm for the estimation of dynamic Poisson’s ratio of selected rock types
• Learning Heuristic A: Efficient Graph Search using Neural Network

TL;DR :

Neural networks are often considered heuristic because their training process, particularly in the context of learning complex relationships in data, relies on iterative adjustments guided by a loss function, rather than an exact, deterministic solution. This iterative approach, coupled with the use of domain knowledge to guide network design (e.g., selecting input values, learning methods, and hidden layer structure), makes them heuristic in nature.