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Prediction Of Second Parity Milk Yield And Fat Percentage Of Dairy Cows Based On First Parity Information Using Neural Network System
A new approach to improve neural networks algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network (SCMNN)
Predicting potential mineralization using surface geochemical data and multiple linear regression model in the Kuh Panj porphyry Cu mineralization (Iran)
Predicting potential mineralization using surface geochemical data and multiple linear regression model in the Kuh Panj porphyry Cu mineralization (Iran)
Comparison of three methods ofANN ANFIS and Time Series Models to predict ground water levels. (Case study North Mahyar plain)
Design of Stabilizing Signals forpower system damping Using generalized Predictive Control Optimized by a New Hybrid Shuffled Frog Leaping Algorithm
Comparison of linear and non-linear methods in prediction of second parity milk yield in dairy cattle based on first parity production data
Comparison of linear and non-linear methods in prediction of second parity milk yield in dairy cattle based on first parity production data
spatial prediction of soil salinity in the arid zones using ASTER data Case study north of Agh ghala Golesatn Province Iran
Mahdi Yavari and Saeed Mahdevari, Prediction of hard rock TBM utilization factor, Iranian Journal of Mining Engineering, (2007) 2,1-10
Three-Dimensional Analysis of Seepage in Fractured Rock Masses and Evaluation of the Accuracy of Empirical Methods for Predicting Permeability in Cutoff Walls: A Case Study of …
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Pedology and Plant Provenance Can Improve Species Distribution Predictions of Australian Native Flora: A Calibrated and Validated Modeling Exercise on 5033 Species
Mahdavi, S., Haghighat, M., & Mokhtari, M. (2020). Application of 3D numerical simulation to process the plate loading test results-Beheshtabad dam as a case study. Journal of Engineering Geology, 14(1), 175-202.‏