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Poultry Science|March 1, 1992
Broiler production under varying population densitiesT L Cravener, W B Roush, M M MashalyPoultry Science|May 1, 1997
Artificial neural network prediction of amino acid levels in feed ingredientsW B Roush, T L CravenerPoultry Science|July 15, 1999
Improving neural network prediction of amino acid levels in feed ingredientsT L Cravener, W B RoushPoultry Science|September 1, 1990
Evaluation of colony size and cage space for laying hens (Gallus domesticus) using fuzzy decision analysisW B Roush, T L CravenerPoultry Science|August 1, 1994
Laying hen production responses to least cost rations formulated with stochastic programming or linear programming with a margin of safetyT L Cravener, W B Roush, T H D'AlfonsoPoultry Science|August 1, 1994
A nonlinear dynamical (chaos) approach to the analysis of broiler growthW B Roush, G F Barbato, T L CravenerPoultry Science|July 23, 2003
Analysis of the nonlinear dynamics of daily broiler growth and feed intakeK J Vandegrift, T L Cravener, R M Hulet, et al.Poultry Science|November 14, 1997
Probabilistic neural network prediction of ascites in broilers based on minimally invasive physiological factorsW B Roush, T L Cravener, Y K Kirby, et al.Poultry Science|January 1, 1984
Effect of increased bird population in a fixed cage area on production and economic responses of single comb white leghorn laying hensW B Roush, M M Mashaly, H B GravesPoultry Science|December 1, 1996
Artificial neural network prediction of ascites in broilersW B Roush, Y K Kirby, T L Cravener, et al.Pageof 9