Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic

2021/02/16 by Raid Rafi Omar Al-Nima, Raid R. Al-Nima, Al-Nima, Raid R. +4 · 1 citation
Computer Science · Engineering · #Advanced Algorithms and Applications #Advanced Computational Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #cs.AI

paper · pdf · doi:10.48550/arxiv.2102.08035

11 pages, 5 figures

arxiv created 2021/02/16 · openalex publication_date 2021/02/16 · arxiv updated 2021/02/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm with them. Information fusions are at the confidence level, where matching scores can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy (GNF). It can be used for high accuracy real-time environments.

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