Mathematical Problems in Engineering / 2018 / Article / Alg 2

Research Article

Electric-Parameter-Based Inversion of Dynamometer Card Using Hybrid Modeling for Beam Pumping System

Algorithm 2

Input: Training samples , the Gaussian kernel function is selected as the basic
kernel function , the nonzero constant , the number of hidden nodes and
the number of data blocks in a data set.
Output: The predictive value of the polished rod load and suspension point displacement
Randomly generate the input layer parameters ;
Construct the data-dependent kernel function by modifying the initial basic kernel function according
to (29), whose parameters are optimized by Algorithm 1;
  for each   do
  Update the output weight by (27);
  end for
Compute the predictive value according to (20).