Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic
This is an incremental approach for AI researchers and practitioners seeking to combine existing methods for potential real-time applications.
The paper tackled the problem of creating an artificial intelligence technique by fusing genetic algorithms, neural networks, and fuzzy logic into a prototype called Genetic Neuro-Fuzzy (GNF), which can be used for high-accuracy real-time environments.
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.