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Journal Abstract Search

1188 related items for PubMed ID: 31442736

  • 1. Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.
    Huang ML, Chou YC.
    Comput Methods Programs Biomed; 2019 Oct; 180():105016. PubMed ID: 31442736
    [Abstract] [Full Text] [Related]

  • 2. Application of a two-stage fuzzy neural network to a prostate cancer prognosis system.
    Kuo RJ, Huang MH, Cheng WC, Lin CC, Wu YH.
    Artif Intell Med; 2015 Feb; 63(2):119-33. PubMed ID: 25576196
    [Abstract] [Full Text] [Related]

  • 3. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
    Wang JS, Han S.
    Comput Intell Neurosci; 2015 Feb; 2015():147843. PubMed ID: 26583034
    [Abstract] [Full Text] [Related]

  • 4. Intelligent ensemble T-S fuzzy neural networks with RCDPSO_DM optimization for effective handling of complex clinical pathway variances.
    Du G, Jiang Z, Diao X, Yao Y.
    Comput Biol Med; 2013 Jul; 43(6):613-34. PubMed ID: 23668338
    [Abstract] [Full Text] [Related]

  • 5. Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification.
    Pashaei E, Pashaei E.
    Arab J Sci Eng; 2021 Jul; 46(4):3807-3828. PubMed ID: 33520590
    [Abstract] [Full Text] [Related]

  • 6. The Prediction of the Gas Utilization Ratio based on TS Fuzzy Neural Network and Particle Swarm Optimization.
    Zhang S, Jiang H, Yin Y, Xiao W, Zhao B.
    Sensors (Basel); 2018 Feb 20; 18(2):. PubMed ID: 29461469
    [Abstract] [Full Text] [Related]

  • 7. Weighted Fuzzy Interpolative Reasoning Based on the Slopes of Fuzzy Sets and Particle Swarm Optimization Techniques.
    Chen SM, Hsin WC.
    IEEE Trans Cybern; 2015 Jul 20; 45(7):1250-61. PubMed ID: 25204003
    [Abstract] [Full Text] [Related]

  • 8. Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization.
    Teferra DM, Ngoo LMH, Nyakoe GN.
    Heliyon; 2023 Jan 20; 9(1):e12802. PubMed ID: 36704286
    [Abstract] [Full Text] [Related]

  • 9. PSO-GSA based fuzzy sliding mode controller for DFIG-based wind turbine.
    Bounar N, Labdai S, Boulkroune A.
    ISA Trans; 2019 Feb 20; 85():177-188. PubMed ID: 30389242
    [Abstract] [Full Text] [Related]

  • 10. Variances handling method of clinical pathways based on T-S fuzzy neural networks with novel hybrid learning algorithm.
    Du G, Jiang Z, Diao X, Ye Y, Yao Y.
    J Med Syst; 2012 Jun 20; 36(3):1283-300. PubMed ID: 20862603
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  • 16. Evolutionary artificial neural networks by multi-dimensional particle swarm optimization.
    Kiranyaz S, Ince T, Yildirim A, Gabbouj M.
    Neural Netw; 2009 Dec 20; 22(10):1448-62. PubMed ID: 19556105
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  • 17. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
    Kar S, Majumder DD.
    Int J Clin Oncol; 2017 Aug 20; 22(4):667-681. PubMed ID: 28321787
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  • 19. Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease.
    Pasha A, Ahmed ST, Painam RK, Mathivanan SK, P K, Mallik S, Qin H.
    Heliyon; 2024 May 15; 10(9):e30241. PubMed ID: 38720763
    [Abstract] [Full Text] [Related]

  • 20. Knowledge mining from clinical datasets using rough sets and backpropagation neural network.
    Nahato KB, Harichandran KN, Arputharaj K.
    Comput Math Methods Med; 2015 May 15; 2015():460189. PubMed ID: 25821508
    [Abstract] [Full Text] [Related]

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