caa a22 4500 397568266 CHVBK 20180308164834.0 cr unu---uuuuu 161202e199612 xx s 000 0 eng 10.3382/ps.0751479 doi (NATIONALLICENCE)oxford-10.3382/ps.0751479 Artificial Neural Network Prediction of Ascites in Broilers [Elektronische Daten] [W. B. ROUSH, Y. KOCHERA KIRBY, T. L. CRAVENER, R. F. WIDEMAN] An artificial neural network was trained to predict the presence or absence of ascites in broiler chickens. The neural network was a three-layer back-propagation neural network with an input layer of 15 neurons (defining 15 physiological variables), a hidden layer of 16 neurons, and an output layer of 2 neurons (the presence or absence of ascites). Male by-products of a breeder pullet line were brooded at 32 and 30 C during Weeks 1 and 2, respectively. The training set for the neural network consisted of data from birds subjected to cool temperatures (18 C) to induce ascites. After training, the predictive ability of the neural network was verified with two new data sets. The second data set was from birds subjected to cool temperatures (18 C). The third data set was from birds subjected to clamping of the pulmonary artery to simulate the physiological processes involved in ascites (the temperature was 24 C). A comparison was made between laboratory diagnostic results and the neural network predicted ascites incidence. The neural network accurately identified the presence or absence of ascites in the first (training) set. Two false positives and one false positive were identified in the second and third verification sets, respectively. The birds identified as false positives were determined to be in the developmental stages of ascites before the occurrence of fluid accumulation. Artificial neural networks were found to effectively identify broilers with and without ascites. © 1996 Poultry Science Association, Inc. Environment and Health nationallicence ascites nationallicence pulmonary hypertension nationallicence neural network nationallicence ROUSH W. B. Departments of Poultry Science, Pennsylvania State University, University Park, Pennsylvania 16802, aut KIRBY Y. KOCHERA University of Arkansas, Fayetteville, Arkansas 72701 aut CRAVENER T. L. Departments of Poultry Science, Pennsylvania State University, University Park, Pennsylvania 16802, aut WIDEMAN R. F. University of Arkansas, Fayetteville, Arkansas 72701 aut Poultry Science Oxford University Press 75/12(1996-12), 1479-1487 0032-5791 75:12<1479 1996 75 ps https://doi.org/10.3382/ps.0751479 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3382/ps.0751479 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- ROUSH W. B. Departments of Poultry Science, Pennsylvania State University, University Park, Pennsylvania 16802 aut NATIONALLICENCE 700 1- KIRBY Y. KOCHERA University of Arkansas, Fayetteville, Arkansas 72701 aut NATIONALLICENCE 700 1- CRAVENER T. L. Departments of Poultry Science, Pennsylvania State University, University Park, Pennsylvania 16802 aut NATIONALLICENCE 700 1- WIDEMAN R. F. University of Arkansas, Fayetteville, Arkansas 72701 aut NATIONALLICENCE 773 0- Poultry Science Oxford University Press 75/12(1996-12), 1479-1487 0032-5791 75:12<1479 1996 75 ps Metadata rights reserved CC BY-NC-4.0 http://creativecommons.org/licenses/by-nc/4.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-oxford