Multiple Classifier Systems

Volume 1857 of the series Lecture Notes in Computer Science pp 147-156


A hybrid projection based and radial basis function architecture

  • Shimon CohenAffiliated withComputer Science Department, Tel-Aviv University
  • , Nathan IntratorAffiliated withComputer Science Department, Tel-Aviv University

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A hybrid architecture that includes Radial Basis Functions (RBF) and projection based hidden units is introduced together with a simple gradient based training algorithm. Classification and regression results are demonstrated on various data sets and compared with several variants of RBF networks. In particular, best classification results are achieved on the vowel classification data [1].