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genetic algorithm

genetic algorithm A genetic algorithm is an optimization method used to improve a model’s performance by adjusting its structure and parameters.

A genetic algorithm is an optimization method used to improve a model’s performance by adjusting its structure and parameters. In this source, it is used to tune a fuzzy neural network so it can classify levels of bank-related risk more accurately.

Sources

Drafting source: Huang Jiaqing; Liu Yang; Tu Miaomiao; Sohaib Osama. Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. 2025; DOI 10.1371/journal.pone.0327199; article XML SHA-256 00f59ca4b0dffce4873d41d26207231066ece163aa6e5ceaba190c5b7bc9537d. “Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network” (10.1371/journal.pone.0327199).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: 00f59ca4b0dffce4873d41d26207231066ece163aa6e5ceaba190c5b7bc9537d

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PsychTerms (psychterms.org), CC BY 4.0, version 1. “genetic algorithm.” Development preview.

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genetic algorithm

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Sources

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