The human panelists were required to rate the odor samples on a hedonic scale. Odor samples were collected and presented to both the electronic nose and the human panelists. Paul Heinz Heinemann, Committee Chair/Co-ChairĪn electronic nose was used in conjunction with a human panel and artificial neural networks to predict human assessments on a hedonic (pleasantness) scale when confronted with spent and phase I mushroom substrate odors.

Key words: Poultry, Management, Production, Broiler Breeders, Artificial Neural Networks and Artificial Intelligence.Author: Williams, Archie Lamar Graduate Program: Agricultural and Biological Engineering Degree: Doctor of Philosophy Document Type: Dissertation Date of Defense: ApCommittee Members: This method also allows simulations of the consequences related to these decisions, and reports the contribution of each variable to the poultry production parameters under study. The authors conclude that it is possible to explain the performance parameters of production birds, with the use of Artificial Neural Networks.ģ) The method supplies tools for the decisions made by the technical staff to be based in objective, scientific criteria. The artificial neural network models generated were compared and selected based on their largest determination coefficient (R 2), lowest Mean Squared Error (MSE), as well as on an uniform scatter in the residual plots. Recorded data from 22 broiler production breeder flocks were obtained, during the periods between 26 th of April, 1998 and 19 th of December, 1999, which corresponded to 689 data lines of weekly recordings.Ģ) These data were processed by artificial neural networks using the software NeuroShell 2 (R) version 4.0 TM (Ward Systems Group (R)). This paper reports the use of artificial neural networks to estimate performance parameters in production birds belonging to a South Brazilian poultry farm.

Referência: British Poultry Science, v.44, n.2, 2003 p.211-217.Ībstract 1) Although the poultry industry uses state-of-the-art equipment and up-to-date services, in Brazil it also generally makes decisions involving all its production parameters based on purely subjective criteria.Autores: SALLE, Carlos Tadeu Pippi GUAHYBA, Adriano da Silva WALD, Vera Beatriz SILVA, Ari Bernardes da SALLE, Felipe de Oliveira NASCIMENTO, Vladimir Pinheiro do.Use of Artificial Neural Networks to estimate production parameters of broilers breeders in the production phase.

Neuroshell 2