Evaluation of Performance of Chlorinated Polyethylene Using Wireless Network and Artificial Intelligence Technology

Algorithm 1

Pseudocode of the Proposed KNN Method.

Input: training samples A, test samples B

Output: Class labels of Y

   Training Phase

Training the optimum-K-scoresofevery training sample

Utilizing ID3 technique to developKNN with training sample and their associatedoptimum-K-scores

Preserving the optimum-K-scores of training sample in every node

   Test Phase

Attaining the optimum-K-scores of test sampleemploying KNN

Forecasting test labels employing conventionalkNNtechnique with trainedoptimum-K-scores on every training sample