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Dynamic Hidden Layers Selection of ANN Architecture Using Particle Swarm Optimization
2013
International Journal of Engineering and Technology
Abstrac -The main purpose of this paper is that how to make Artificial Neural Networks (ANN) dynamic in the sense that it can decide that which architecture from given set of architecture has the optimal results. For this we need to use some optimization technique to get the optimum architecture of the ANN. In this paper Particle Swarm Optimization Technique is used. Particle Swarm Optimization (PSO) has applied to variety of optimization problems and it provides good results. In this research
doi:10.7763/ijet.2013.v5.540
fatcat:j25jrhxdzfealnhdoqihzkglyu