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.

翻译：本文介绍基于遗传算法、神经网络和模糊逻辑结合的人工智能原型技术的设计和开发。它首先在神经网络和模糊逻辑之间建立关系,然后将遗传算法与它们结合起来。信息融合处于信任水平,可以报告并讨论相应的得分。技术称为基因神经-Fuzzy(GNF),可用于高精度实时环境。