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24* -Conference 14th Int. Conf. on Pattern Recognition, Brisbane, Queensland, Australia, August 17-20, 1998 (in press)
 

Summary: 24* - Conference
14th Int. Conf. on Pattern Recognition, Brisbane, Queensland, Australia, August 17-20, 1998 (in press)
1
Training of an ML Neural Network for Classification
via Recursive Reduction of the Class Separation
Mayer Aladjem
Department of Electrical and Computer Engineering
Ben-Gurion University of the Negev, P.O.B. 653, 84105 Beer-Sheva,
Israel, e-mail: aladjem@bguee.bgu.ac.il
Abstract
A method for recursive training of an ML network for
classification is proposed. It searches for the non-linear
discriminant functions corresponding to several small
local minima of the objective function. The novelty of the
proposed method lies in the transformation of the training
data into new data with a deflated minimum of the
objective function followed by iteration to obtain the next
solution. It succeeded in finding solutions with lower
misclassification errors than the solutions found after
conventional training with random initialization of the

  

Source: Aladjem, Mayer - Department of Electrical and Computer Engineering, Ben-Gurion University

 

Collections: Computer Technologies and Information Sciences