K. M. M. Al-Abrahemee

Modification High Performance Training Algorithms for Solving Fuzzy Perturbed Integro-Differential Equations

 In this pepear we develop a type of high-performance algorithm called a Quasi–Newton type training algorithm by designing a partial fuzzy neural network with fuzzy weights using the $\omega$-cut representation, and real biases (PFNN).Developing feed forward neural networks (FFNNs) to solve fuzzy singular perturbed Fre...