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Artificial neural network (ANN) contributes significant advantages in medical research. In the field of medical imaging and health care application, ANN performs the significant role by applying the neural networks. However, nowadays vast abundance of efforts is concentrated on the evolution of neural networks for application purposes such as data compression, pattern recognition, optimization, and classification. Bat algorithm (BA) is a natureinspired metaheuristic algorithm, which is widely used to solve the real world global optimization problem. One of the major issues faced by the BA is its frequent capture in local optima while handling the complex real-world problems. In this study, a new variant of BA, named as improved bat algorithm (IBA) has been proposed. The proposed approach modifies the standard BA by enhancing its exploitation capabilities and avoids escaping from local minima. Artificial neural …