Abstract
"Self-adaptive" algorithms include a wide variety of procedures that derive models by "training" with data about the process concerned. Adaptive algorithms typically perform brilliantly under some conditions, but fail badly under others. Flexibility, reliability and speed are prime concerns in designing and using such algorithms.
Original language | English |
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Pages (from-to) | 33-38 |
Number of pages | 6 |
Journal | Mathematics and Computers in Simulation |
Volume | 30 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - Feb 1988 |
Externally published | Yes |