✦ LIBER ✦

Evaluation of broiler chicks responses to protein, methionine and tryptophan using neural network models

✍ Scribed by Faridi, A.; Golian, A.; France, J.; Heravi Mousavi, A.; Mottaghitalab, M.

Book ID: 127203587
Publisher: Informa UK (Taylor & Francis)
Year: 2014
Tongue: English
Weight: 186 KB
Volume: 42
Category: Article
ISSN: 0971-2119
DOI: 10.1080/09712119.2013.867860

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Study of broiler chicken responses to di

Study of broiler chicken responses to dietary protein and lysine using neural network and response surface models

✍ Faridi, A.; Golian, A.; France, J.; Heravi Mousavi, A. 📂 Article 📅 2013 🏛 Taylor and Francis Group 🌐 English ⚖ 203 KB

Optimization of response surface and neu

Optimization of response surface and neural network models in conjugation with desirability function for estimation of nutritional needs of methionine, lysine, and threonine in broiler chickens

✍ Mehri, M. 📂 Article 📅 2014 🏛 Poultry Science Association 🌐 English ⚖ 765 KB

Modeling complex nonlinear responses of

Modeling complex nonlinear responses of shallow lakes to fish and hydrology using artificial neural networks

✍ Can Ozan Tan; Meryem Beklioglu 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 564 KB

On the use of finite-difference and neur

On the use of finite-difference and neural-network models to evaluate the impact of underground water overexploitation

✍ A. Hani; S. Lallahem; J. Mania; L. Djabri 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 288 KB 👁 1 views

## Abstract The purpose of this study is to include expert knowledge as one part of the modelling system and thereby offer the chance to create a productive interactive system between expert, mathematical model, ASM, and artificial neural networks (ANNs). An attempt to determine outflow‐influencing

USING MACHINE LEARNING TO CLASSIFY IMAGE

USING MACHINE LEARNING TO CLASSIFY IMAGE FEATURES FROM CANINE PELVIC RADIOGRAPHS: EVALUATION OF PARTIAL LEAST SQUARES DISCRIMINANT ANALYSIS AND ARTIFICIAL NEURAL NETWORK MODELS

✍ McEvoy, Fintan J.; Amigo, José M. 📂 Article 📅 2012 🏛 John Wiley and Sons 🌐 English ⚖ 559 KB

Response to Comments from Larachi and Gr

Response to Comments from Larachi and Grandjean on “Neural Network Modeling of Structured Packing Height Equivalent to a Theoretical Plate” and“HETP and Pressure Drop Prediction for Structured Packing Distillation Columns Using a Neural Network”

✍ Eldridge, R. Bruce 📂 Article 📅 2000 🏛 American Chemical Society 🌐 English ⚖ 7 KB