A hybrid approach based on the genetic algorithm and neural network to design an incremental cellular manufacturing system

A simple and efficient approach to train

A simple and efficient approach to train artificial neural networks using a genetic algorithm to calculate the resonant frequency of an RMA on thick substrate

✍ Bonomali Khuntia; Shyam S. Pattnaik; Dhruba C. Panda; Dipak K. Neog; S. Devi; Ma 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 249 KB 👁 1 views

## Abstract Both genetic algorithms (GAs) and artificial neural networks (ANNs) have been used in the field of computational electromagnetics as the most powerful optimizing tools. In this paper, a simple and efficient method is presented to handle the problem of competing convention while training