Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The objective was to develop and implement a model of mixed integer programming (MIP) that numerically represented or simulated the optimum operating conditions of an integrated crop-livestock system with no-tillage (iCLS-NT), including animal transit. For the computational implementation of the model, we needed data on the fitness of the live weight gain of each animal of the considered herd, in each period and in each area of the iCLS-NT (confinement, pasture and annual crop), as well as marginal net income of each culture and costs per unit of the considered food. To test the validity of the developed mathematical model, we generated random values. To solve the problems, we used the MATLAB solver for mixed integer programming problems. Thus, after the computational implementation was carried out, we verified that the program satisfied all imposed constraints, maximized the weight gain of each animal, provided the best selection of annual crops and minimized the feed costs in the confinement area.
Angel Ramon Sanchez Delgado. 2019. \u201cMixed Integer Programming for the Numerical Simulation of an Integrated Crop-Livestock System under No-Tillage\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 19 (GJSFR Volume 19 Issue F1): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 103
Country: Brazil
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Angel Ramon Sanchez Delgado, Vinicius Teixeira Do Nascimento, Sergio Drumond Ventura (PhD/Dr. count: 0)
View Count (all-time): 122
Total Views (Real + Logic): 2724
Total Downloads (simulated): 1342
Publish Date: 2019 04, Fri
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The objective was to develop and implement a model of mixed integer programming (MIP) that numerically represented or simulated the optimum operating conditions of an integrated crop-livestock system with no-tillage (iCLS-NT), including animal transit. For the computational implementation of the model, we needed data on the fitness of the live weight gain of each animal of the considered herd, in each period and in each area of the iCLS-NT (confinement, pasture and annual crop), as well as marginal net income of each culture and costs per unit of the considered food. To test the validity of the developed mathematical model, we generated random values. To solve the problems, we used the MATLAB solver for mixed integer programming problems. Thus, after the computational implementation was carried out, we verified that the program satisfied all imposed constraints, maximized the weight gain of each animal, provided the best selection of annual crops and minimized the feed costs in the confinement area.
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