The following publications are possibly variants of this publication:
- Reformulated radial basis function neural networks with adjustable weighted normsMary M. Randolph-Gips, Nicolaos B. Karayiannis. ijis, 18(10):1065-1085, 2003. [doi]
- New Developments in the Theory and Training of Reformulated Radial Basis Neural NetworksNicolaos B. Karayiannis. ijcnn 2000: 614-619 [doi]
- Reformulating Learning Vector Quantization and Radial Basis Neural NetworksNicolaos B. Karayiannis. FUIN, 37(1-2):137-175, 1999.
- Reformulated radial basis neural networks trained by gradient descentNicolaos B. Karayiannis. tnn, 10(3):657-671, 1999. [doi]
- On the construction and training of reformulated radial basis function neural networksNicolaos B. Karayiannis, Mary M. Randolph-Gips. tnn, 14(4):835-846, 2003. [doi]
- Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in the Recognition of Videotaped Neonatal SeizuresNicolaos B. Karayiannis, YaoHua Xiong. cibcb 2005: 447-454
- Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data ClassificationNicolaos B. Karayiannis, YaoHua Xiong. tnn, 17(5):1222-1234, 2006. [doi]
- Growing radial basis neural networksNicolaos B. Karayiannis, Glenn Weiqun Mi. icnn 1997: 1406-1411 [doi]