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Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
A Comparison of the Sensitivity of the BayesC and Genomic Best Linear Unbiased Prediction (GBLUP) Methods of Estimating Genomic Breeding Values under Different Quantitative Trait Locus (QTL) Model Assumptions
Advanced Postharvest Physiology
Research Projects
Workshop, “Frontiers in hadron and nuclear physics with strangeness and charm”
Synthesis and characterization of new polyureas derived from 4-(4′-Methoxyphenyl)urazole
Research
Conference Papers
Simulation
سلطاني معاد- Maad Soltani
درسها
Introduction to Neural Networks
Dr. Farhad Behnamfar
Dr. Aboozar Taherizadeh