| 摘要 |
In an optical character recognition application, training sets of optimized moment invariant character data (801) are used to evaluate fuzzy logic systems (803) modeled with parameters produced through the use of a genetic algorithm (802). The fuzzy logic systems (803) are evaluated (807) and given a score to input back into the genetic algorithm (802), which uses the score in a reproduction process (104) to produce new chromosomes (105) for reinsertion into the fuzzy logic system models (803). Each of the chromosomes may contain both membership function representations and representations of the rules of the fuzzy logic system.
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