A New Approach for Estimating the Parameters of the ${\rm K}$-Distribution Using Fuzzy-Neural Networks

In this correspondence, we introduce a new approach based on fuzzy neural network (FNN) for estimating the parameters of the K-distribution. The FNN proposed estimator combines the Raghavan's and maximum-likelihood and method of moments (ML/MOM) methods and offers a lower variance of parameter estimates when compared with the existing non-maximum-likelihood methods.