Application of Artificial Neural Network and Support Vector Machines in Predicting Metabolizable Energy in Compound Feeds for Pigs.

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Application of Artificial Neural Network and Support Vector Machines in Predicting Metabolizable Energy in Compound Feeds for Pigs.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

@yue

2017年論文

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2017年論文

@zh-hk

2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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Application of Artificial Neur ...... gy in Compound Feeds for Pigs.

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Application of Artificial Neur ...... gy in Compound Feeds for Pigs.

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Application of Artificial Neur ...... gy in Compound Feeds for Pigs.

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P1476

Application of Artificial Neur ...... gy in Compound Feeds for Pigs.

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P2093

Hamed Ahmadi

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Markus Rodehutscord

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P2860

Development of equations for predicting metabolisable energy concentrations in compound feeds for pigs.

Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network.

The integration of broiler chicken threonine responses data into neural network models.

Artificial neural networks: opening the black box.

Invited review: Integrating quantitative findings from multiple studies using mixed model methodology.

Comparison of Gompertz and neural network models of broiler growth.

Artificial neural network prediction of amino acid levels in feed ingredients.

Short-wave near-infrared spectroscopy of milk powder for brand identification and component analysis.

Response surface and neural network models for performance of broiler chicks fed diets varying in digestible protein and critical amino acids from 11 to 17 days of age.

Artificial neural network-based predictive model for bacterial growth in a simulated medium of modified-atmosphere-packed cooked meat products.

P304

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P31

scholarly article

P356

10.3389/FNUT.2017.00027

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P478

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P577

2017-06-30T00:00:00Z

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P698

28713814

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P921

support vector machine

P932

5491901

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