Work

Reduced HyperBF Networks: Regularization by Explicit Complexity Reduction and Scaled Rprop-Based Training

Year: 2011

Type: article

Source: IEEE Transactions on Neural Networks

DOI: 10.1109/tnn.2011.2109736

Authors: R N Mahdi, E C Rouchka

Institutions: Cornell University, Weill Cornell Medicine, University of Louisville

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Institute of Environmental Health Sciences, National Center for Research Resources

Awards: Center for Environmental Genomics and Integrative Biology, KY IDeA Networks of Biomedical Research Excellence

OpenAlex ID: W2155289747

FWCI: 1.67

Cites: 63

Cited by: 15

Related to: 10