2018
DOI: 10.3233/jad-170069
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Multivariate Approach for Alzheimer’s Disease Detection Using Stationary Wavelet Entropy and Predator-Prey Particle Swarm Optimization

Abstract: In terms of classification performance, our method performs better than 10 state-of-the-art approaches and the performance of human observers. Therefore, this proposed method is effective in the detection of Alzheimer's disease.

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Cited by 146 publications
(65 citation statements)
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“…Feature selection is a combinatorial optimization problem, which can be solved by Particle Swarm Optimization (PSO) [Zhang, Wang, Sui et al (2017)]. Xue et al studied on multi-objective particle swarm optimization (PSO) for feature selection, and it achieved comparable results with the existing well-known multi-objective algorithms in most cases [Xue, Zhang and Browne (2013)].…”
Section: Psomentioning
confidence: 99%
“…Feature selection is a combinatorial optimization problem, which can be solved by Particle Swarm Optimization (PSO) [Zhang, Wang, Sui et al (2017)]. Xue et al studied on multi-objective particle swarm optimization (PSO) for feature selection, and it achieved comparable results with the existing well-known multi-objective algorithms in most cases [Xue, Zhang and Browne (2013)].…”
Section: Psomentioning
confidence: 99%
“…The adaptive inertia weight strategy and chaos map were also introduced called a predator-prey adaptive chaotic PSO (PAC-PSO) algorithm. The predator-prey PSO was applied to train the weights and biases of the NN (Neural Networks) classifier for alcoholism detection [27] and Alzheimer's disease detection [28].…”
Section: Particle Swarm Optimization (Pso)mentioning
confidence: 99%
“…PSO can be easily implemented and is computationally inexpensive, and has few parameters to adjust. For its superiority, PSO has rapidly developed with applications in solving real-world optimization problems in recent years [2,3]. However, PSO is easily trapped into the local optima, and premature convergence appears when it is applied to complex multimodal problems [4].…”
Section: Introductionmentioning
confidence: 99%