Predicting feedlot performance using mathematical models
نویسندگان
چکیده
منابع مشابه
Predicting sensor fusion performance using theoretical models
Simple theoretical models can be constructed to study the behavior of sensor-fused systems using idealized sensor suites. Models are available for feature-level and decision-level fusion, both of which are now being used with demining sensors. These models are attractive as design tools and for estimating the expected performance of new sensor suites, since their performance can be evaluated wi...
متن کاملPredicting Extraction Performance using Context Language Models
Exploiting lexical and semantic relationships in text can dramatically improve information retrieval accuracy. Most notably, named entities and relations between entities are crucial for effective question answering and other information retrieval tasks. Unfortunately, the success in extracting these relationships can vary for different domains and document collections. Predicting extraction pe...
متن کاملPredicting intake and digestibility using mathematical models of ruminal function.
Intake and digestibility of feeds by ruminants are influenced by characteristics of the feed, animal and feeding situation. Integration of these characteristics in mathematical models is critical to future progress in forage evaluation and optimal formulation of diets for ruminants. The physiological and physical theories of intake regulation can be described by simple mathematical equations. T...
متن کاملMathematical Models for Musical Performance
The aim of this article is twofold. On one hand we give an overview, without any pretension of being exhaustive, of some theoretical tool of the modern theory of musical performance. On the other hand we present two mathematical models based on the ideas of Mazzola’s Mathematical Music Theory, that enable to concretely answer typical question on the way a player performs. For instance, now a cl...
متن کاملPredicting the performance of oxidation catalysts using descriptor models
Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Kansas Agricultural Experiment Station Research Reports
سال: 1979
ISSN: 2378-5977
DOI: 10.4148/2378-5977.2645