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Neurocomputing, ISSN 0925-2312, 11/2017, Volume 266, pp. 506 - 526
Working up with deep learning techniques requires profound understanding of the mechanisms underlying the optimization of the internal parameters of complex... 
Deep learning | Deep neural network | Stacked autoencoder network | Artificial bee colony optimization algorithm | L-BFGS | Hybridization | Training strategy | PARAMETERS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Neural networks | Mathematical optimization | Analysis | Bees | Biomedical engineering
Journal Article
International Journal of Imaging Systems and Technology, ISSN 0899-9457, 06/2015, Volume 25, Issue 2, pp. 153 - 164
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 04/2013, Volume 13, Issue 4, pp. 2188 - 2203
[Display omitted] ► This paper proposes a new recombination-based hybrid algorithm. ► The hybrid algorithm is based on particle swarm optimization (PSO) and... 
Artificial bee colony | Hybridization | Continuous optimization | Particle swarm optimization | Recombination procedure | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ENERGY DEMAND | PERFORMANCE | GLOBAL OPTIMIZATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Mathematical optimization | Algorithms
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 09/2018, Volume 70, pp. 590 - 603
[Display omitted] •In this paper, a modified BCO (MBCO) approach is proposed for data clustering. In the proposed MBCO, cloning and fairness concepts are used... 
Clustering | Modified Bee Colony Optimization (MBCO) | k-Means algorithm | PARTICLE SWARM OPTIMIZATION | FLEXIBLE PLATE STRUCTURES | HARMONIC MEANS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SEARCH | ALGORITHM | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Mathematical optimization | Bees
Journal Article