In this paper, an architecture of fuzzy neural networks is proposed to find a real root of fuzzy polynomials (if exists) by
introducing a learning algorithm. We proposed a learning algorithm from the cost function for adjusting of crisp weights.
Finally, we illustrated our approach by numerical examples.
