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

arXiv: https://arxiv.org/abs/2102.08035 · HTML: https://mlsanity.com/paper/2102.08035/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 50 references that are in the map.
- First posted on arXiv 16 Feb 2021.

## Builds on (most cited first, 1 of 1)

- [Finger Texture Biometric Characteristic: a Survey](https://mlsanity.com/paper/2006.04193/) (2020)

## Built on by (most cited first, 1 of 1)

- [Shadow Image Enlargement Distortion Removal](https://mlsanity.com/paper/2102.11356/) (2021)

## Abstract (arXiv)

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.