Index Terms
- Algorithm 180: error function—large X
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An improved backpropagation algorithm using absolute error function
ISNN'05: Proceedings of the Second international conference on Advances in Neural Networks - Volume Part IAn improved backpropagation algorithm is proposed by using the Lyapunov method to minimize the absolution error function. The improved algorithm can make both error and gradient approach zero so that the local minima problem can be avoided. In addition, ...
Algorithm 421: complex gamma function with error control [S14]
This Fortran program computes either the gamma function or the loggamma function of a complex variable in double precision. In addition, it provides an error estimate of the computed answer. The calling sequences are: CALL CDLGAM (Z, W, E, 0) for the ...
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