Radial basis function neural networks (RBF NNs) are one of the most useful tools in classification sonar targets. Despite many abilities RBF NNs, low accuracy classification, entrapment local minima, and slow convergence rate disadvantages these networks. In order to overcome issues, sine-cosine algorithm (SCA) has been used train NNs this work. To evaluate designed classifier, two benchmark un...
