Adapting Particle Swarm Optimization to Stock Markets
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Expert Systems with Applications: An International Journal
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Neural Networks
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The information processing capability of artificial neural networks (ANNs) is closely related to its architecture and connection weights. Various algorithms have been used to get an optimized structure suited for various applications. The paper does a comparative survey on effectiveness of evolving artificial neural networks based on the particle swarm optimization (PSO) algorithm over other algorithms. A description of this type of system tested on real problems in various domains has also been quoted. The results show that ANNs evolved by PSOANN have good accuracy and generalization ability.