Using Discriminant Analysis and Artificial Neural Network Models for Classification and Prediction of Fertility Status of Friesian Cattle

Faculty Veterinary Medicine Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Fatma Desouky Mohamed Abdallah
Journal: AJVS. Vol. 60 (1): 49-54 Jan. 2019 DOI: 10.5455/ajvs.16828 American Journal of Applied Mathematics and Statistics, 2017, Vol. 5, No. 3, 90-94 Available online at http://pubs.sciepub.com/ajams/5/3/1 ©Science an Volume:
Keywords : Using Discriminant Analysis , Artificial Neural Network    
Abstract:
Abstract Background & objectives: This study was undertaken to compare the accuracies of Discriminant analysis model (DA) and Artificial neural networks model (ANN) for classification and prediction of Friesian cattle fertility status by us
    
     
 
       

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  • Fatma Desouky Mohamed Abdallah, "Application of Different Biostatistical Methods in Biological Data Analysis", Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvj, 2019 More
  • Fatma Desouky Mohamed Abdallah, "Application of Different Biostatistical Methods in Biological Data Analysis", Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvj, 2019 More
  • Fatma Desouky Mohamed Abdallah, "Statistical Modelling of Categorical Outcome with More than Two Nominal Categories", American Journal of Applied Mathematics and Statistics, 2018, Vol. 6, No. 6, 262-265 Available online at http://pubs.sciepub.com/ajams/6/6/7 ©Science , 2018 More
  • Fatma Desouky Mohamed Abdallah, "Parametric Survival Models for Predicting of Pregnancy in Friesian Cattle", International Journal of Statistics and Applications 2018, 8(3): 129-132 DOI: 10.5923/j.statistics.20180803.03, 2018 More
  • Fatma Desouky Mohamed Abdallah, "Role of Time Series Analysis in Forecasting Egg Production Depending on ARIMA Model", Applied Mathematics 2019, 9(1): 1-5 DOI: 10.5923/j.am.20190901.01, 2019 More

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