4 Art�culos

Using an Opportunity Matrix to Select Centers for RBF Neural Networks

Acceso

en l�nea

Daniel S. Soper

When designed correctly, radial basis function (RBF) neural networks can approximate mathematical functions to any arbitrary degree of precision. Multilayer perceptron (MLP) neural networks are also universal function approximators, but RBF neural networ... ver m�s

Revista: Algorithms Formato: Electr�nico

Tabla de contenido: Vol: 16 Num: 0 Par: 10 A�o: 2023

Hyperparameter Optimization Using Successive Halving with Greedy Cross Validation

Acceso

en l�nea

Daniel S. Soper

Training and evaluating the performance of many competing Artificial Intelligence (AI)/Machine Learning (ML) models can be very time-consuming and expensive. Furthermore, the costs associated with this hyperparameter optimization task grow exponentially ... ver m�s

Revista: Algorithms Formato: Electr�nico

Tabla de contenido: Vol: 16 Num: 0 Par: 1 A�o: 2023

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