https://terms-en.ai-term-hub.com/en/tags/neural-architecture/Recent content in Neural Architecture on English AI Terms DictionaryHugoen-usSat, 18 Jul 2026 11:44:44 +0000https://terms-en.ai-term-hub.com/en/terms/kolmogorovarnold_networks/Sat, 18 Jul 2026 10:04:10 +0000https://terms-en.ai-term-hub.com/en/terms/kolmogorovarnold_networks/<h2 id="definition">Definition</h2> <p>Kolmogorov–Arnold Networks (KANs) are a recent class of neural networks inspired by the Kolmogorov-Arnold representation theorem, which states that any multivariate continuous function can be represented as a composition of continuous functions of one variable and addition. Unlike standard Multi-Layer Perceptrons (MLPs) that use fixed activation functions on weights, KANs place learnable activation functions on the edges (connections) of the network. This structure often leads to higher accuracy, better interpretability, and faster convergence during training, particularly in scientific machine learning applications.</p>