Hamed Ahmadi
Hamed Ahmadi
Assistant Professor, Bioscience and Agriculture Modeling, Tarbiat Modares University
Verified email at modares.ac.ir - Homepage
Cited by
Cited by
The integration of broiler chicken threonine responses data into neural network models
H Ahmadi, A Golian
Poultry science 89 (11), 2535-2541, 2010
Group method of data handling-type neural network prediction of broiler performance based on dietary metabolizable energy, methionine, and lysine
H Ahmadi, M Mottaghitalab, N Nariman-Zadeh
The Journal of Applied Poultry Research 16 (4), 494-501, 2007
A meta-analysis of responses to dietary nonphytate phosphorus and phytase in laying hens
H Ahmadi, M Rodehutscord
Poultry science 91 (8), 2072-2078, 2012
Hyperbolastic models as a new powerful tool to describe broiler growth kinetics
H Ahmadi, M Mottaghitalab
Poultry Science 86 (11), 2461-2465, 2007
Artificial neural network genetic algorithm as powerful tool to predict and optimize in vitro proliferation mineral medium for G N15 rootstock
MM Arab, A Yadollahi, A Shojaeiyan, H Ahmadi
Frontiers in plant science 7, 1526, 2016
Relationship between color and tannin content in sorghum grain: application of image analysis and artificial neural network
M Sedghi, A Golian, P Soleimani-Roodi, A Ahmadi, M Aami-Azghadi
Brazilian Journal of Poultry Science 14, 57-62, 2012
Response surface and neural network models for performance of broiler chicks fed diets varying in digestible protein and critical amino acids from 11 to 17 days of age
H Ahmadi, A Golian
Poultry science 90 (9), 2085-2096, 2011
Estimation and modeling true metabolizable energy of sorghum grain for poultry
M Sedghi, MR Ebadi, A Golian, H Ahmadi
Poultry science 90 (5), 1138-1143, 2011
Predicting in vitro culture medium macro-nutrients composition for pear rootstocks using regression analysis and neural network models
S Jamshidi, A Yadollahi, H Ahmadi, MM Arab, M Eftekhari
Frontiers in plant science 7, 274, 2016
Effect of dietary supplementation of licorice extract and a prebiotic on performance and blood metabolites of broilers
M Sedghi, A Golian, H Kermanshahi, H Ahmadi
South African Journal of Animal Science 40 (4), 2010
Meta-analysis of the influence of dietary glycine and serine, with consideration of methionine and cysteine, on growth and feed conversion of broilers
W Siegert, H Ahmadi, M Rodehutscord
Poultry Science 94 (8), 1853-1863, 2015
A quantitative study of the interactive effects of glycine and serine with threonine and choline on growth performance in broilers
W Siegert, H Ahmadi, A Helmbrecht, M Rodehutscord
Poultry Science 94 (7), 1557-1568, 2015
Modeling and optimizing a new culture medium for in vitro rooting of G N15 Prunus rootstock using artificial neural network-genetic algorithm
MM Arab, A Yadollahi, M Eftekhari, H Ahmadi, M Akbari, SS Khorami
Scientific reports 8 (1), 1-18, 2018
Effects of a dietary supplementation with zinc oxide nanoparticles, compared to zinc oxide and zinc methionine, on performance, egg quality, and zinc status of laying hens
M Abedini, F Shariatmadari, MAK Torshizi, H Ahmadi
Livestock Science 203, 30-36, 2017
Application of artificial neural network and support vector machines in predicting metabolizable energy in compound feeds for pigs
H Ahmadi, M Rodehutscord
Frontiers in nutrition 4, 27, 2017
Growth analysis of chickens fed diets varying in the percentage of metabolizable energy provided by protein, fat, and carbohydrate through artificial neural network
H Ahmadi, A Golian
Poultry science 89 (1), 173-179, 2010
Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network
H Ahmadi, A Golian, M Mottaghitalab, N Nariman-Zadeh
Poultry Science 87 (9), 1909-1912, 2008
Effects of zinc oxide nanoparticles on the egg quality, immune response, zinc retention, and blood parameters of laying hens in the late phase of production
M Abedini, F Shariatmadari, MA Karimi Torshizi, H Ahmadi
Journal of animal physiology and animal nutrition 102 (3), 736-745, 2018
Non-linear hyperbolastic growth models for describing growth curve in classical strain of broiler chicken
H Ahmadi, A Golian
Research Journal of Biological Sciences 3 (11), 1300-1304, 2008
Prediction of the true digestible amino acid contents from the chemical composition of sorghum grain for poultry
MR Ebadi, M Sedghi, A Golian, H Ahmadi
Poultry science 90 (10), 2397-2401, 2011
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