Comparison of generalised additive models and neural networks in applications: A systematic review
NeutralArtificial Intelligence
A recent systematic review compares the performance of neural networks and generalised additive models (GAMs) in predictive modelling. While neural networks are often linked to machine learning and AI, GAMs offer flexibility and interpretability in statistical analysis. This study highlights the strengths and weaknesses of both approaches, providing insights that could help researchers and practitioners choose the right model for their specific applications.
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