Research Article
Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks
Table 3
Results of experimental comparison of the efficiency of problem solving with the number of ranked links from 20 to 200.
| | Ranking algorithm | CPU run time (s) | | 20 links | 80 links | 200 links |
| | Vector neural network ranking | 5,1667е − 004 | 2,1667е − 002 (10 model runs) | 0,1211 (5 model runs) | | Scalar neural network ranking | 6,379е − 004 | 9,8623ее − 002 (10 model runs) | 0,5274 (5 model runs) | | Sorting the relevance of found links by the “bubble” method | 1,1437е − 003 | 0.5274 | 8.4578 | | Sorting the relevance by selection of the largest element | 1,3496е − 003 | 0.8305 | 9.6424 | | Ranking by sorting the array of values by insert | 2,0054е − 003 | 0.9846 | 11.2836 | | Exhaustive search | 10.2159 | — | — |
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