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as weighted contribution TSPA. The modi cationofthe originalalgorithmismainly
 

Summary: as weighted contribution TSPA.
The modi cationofthe originalalgorithmismainly
based on the consideration that the equal contribution
to the global connection error may not be the best
choice, although that is a more accurate estimate of
the theory of gradient descent. In addition, in the
modi ed algorithm, the improvement for faster con-
vergence rate can also be observed in the experiments
even without the e ect of the weighted contribution.
However, such improvement cannot be guaranteed in
all the cases.
Table 1 shows the comparison among the conver-
gence rates of three variations of TSPA: the original
one, the modi ed one with equal contribution, and
the modi ed one with weighted contribution. As men-
iterations
Nptn original equal weighted
contribution contribution
ai = 1 ai = N2
i + 2Ni

  

Source: Ammar, Hany H. - Department of Computer Science and Electrical Engineering, West Virginia University

 

Collections: Computer Technologies and Information Sciences