On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations

  • De-Shuang Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2690)


This paper compares the performance by using constrained learning algorithm (CLA) and recursive least square algorithm (RLSA) to solve linear simultaneous equations. It was found in experiments that the convergent speed for this CLA is much faster than the recursive least square back propagation (RLS-BP) algorithm. Finally, related experimental results are presented.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • De-Shuang Huang
    • 1
  1. 1.Institute of Intelligent MachinesChinese Academy of SciencesHefei, AnhuiChina

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