A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as they have a myriad of applications. Prior to using ANNs, the network structure needs be determined and ANN trained. The is usually chosen based on trial error. training, which consists finding optimal connection weights biases ANN, done gradient-descent algorithms. It has been found that swarm intelligence algorithms favorable for both determining training ANNs. This because able determine an intelligent way, better at most during opposed conventional Recently, number employed optimizing different types neural networks. However, there no comprehensive survey used In this paper, we present review ANNs optimized algorithms, way optimized, used, applications by