These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 16615366)

  • 1. Comparison of forecasting methodologies using egg price as a test case.
    Ahmad HA; Mariano M
    Poult Sci; 2006 Apr; 85(4):798-807. PubMed ID: 16615366
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Forecasting Carbon Price in China: A Multimodel Comparison.
    Li H; Huang X; Zhou D; Cao A; Su M; Wang Y; Guo L
    Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627753
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Egg production forecasting: Determining efficient modeling approaches.
    Ahmad HA
    J Appl Poult Res; 2011 Dec; 20(4):463-473. PubMed ID: 22661881
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Stock trading using RSPOP: a novel rough set-based neuro-fuzzy approach.
    Ang KK; Quek C
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1301-15. PubMed ID: 17001989
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model.
    Lu S
    Comput Intell Neurosci; 2021; 2021():1026978. PubMed ID: 34804136
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parametric seasonal-trend autoregressive neural network for long-term crop price forecasting.
    Hong W; Choi SC; Oh S
    PLoS One; 2024; 19(9):e0311199. PubMed ID: 39325794
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Research and Forecast Analysis of Financial Stability for Policy Uncertainty.
    Dai Z; Zhou Z
    Comput Intell Neurosci; 2022; 2022():8799247. PubMed ID: 35371217
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effectively training neural networks for stock index prediction: Predicting the S&P 500 index without using its index data.
    Lee J; Kang J
    PLoS One; 2020; 15(4):e0230635. PubMed ID: 32275721
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Forecasting Bitcoin closing price series using linear regression and neural networks models.
    Uras N; Marchesi L; Marchesi M; Tonelli R
    PeerJ Comput Sci; 2020; 6():e279. PubMed ID: 33816930
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens.
    Savegnago RP; Nunes BN; Caetano SL; Ferraudo AS; Schmidt GS; Ledur MC; Munari DP
    Poult Sci; 2011 Mar; 90(3):705-11. PubMed ID: 21325246
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm.
    Chen J; Yi J; Liu K; Cheng J; Feng Y; Fang C
    PLoS One; 2023; 18(10):e0285631. PubMed ID: 37903151
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Brent Crude Oil Price Forecast Utilizing Deep Neural Network Architectures.
    Daneshvar A; Ebrahimi M; Salahi F; Rahmaty M; Homayounfar M
    Comput Intell Neurosci; 2022; 2022():6140796. PubMed ID: 35571715
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting.
    Deng Z; Qi X; Xu T; Zheng Y
    Comput Intell Neurosci; 2022; 2022():9326856. PubMed ID: 35237313
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Forecasting Day-Ahead Electricity Metrics with Artificial Neural Networks.
    Pavićević M; Popović T
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161797
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Carbon price forecasting: a novel deep learning approach.
    Zhang F; Wen N
    Environ Sci Pollut Res Int; 2022 Aug; 29(36):54782-54795. PubMed ID: 35306656
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Developing logistic regression models using purchase attributes and demographics to predict the probability of purchases of regular and specialty eggs.
    Bejaei M; Wiseman K; Cheng KM
    Br Poult Sci; 2015; 56(4):425-35. PubMed ID: 26103791
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence approach with the use of artificial neural networks for the creation of a forecasting model of Plasmopara viticola infection.
    Bugliosi R; Spera G; La Torre A; Campoli L; Scaglione M
    Commun Agric Appl Biol Sci; 2006; 71(3 Pt A):859-65. PubMed ID: 17390832
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model.
    Qiu M; Song Y
    PLoS One; 2016; 11(5):e0155133. PubMed ID: 27196055
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Developed multiple-layer perceptron neural network based on developed search and rescue optimizer to predict iron ore price volatility: A case study.
    Lv J; Tang W; Hosseinzadeh H
    ISA Trans; 2022 Nov; 130():420-432. PubMed ID: 35491252
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Egg marketing in national supermarkets: products, packaging, and prices--part 3.
    Koelkebeck KW; Bell DD; Carey JB; Anderson KE; Darre MJ
    Poult Sci; 2001 Apr; 80(4):396-400. PubMed ID: 11297275
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.