| 食品比热容的支持向量回归预测 |
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| 引用本文： | 温玉锋,陈志铨,汤鹏杰,赖章丽. 食品比热容的支持向量回归预测[J]. 井冈山大学学报(自然科学版), 2014, 0(5): 29-32 |
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| 作者姓名： | 温玉锋 陈志铨 汤鹏杰 赖章丽 |
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| 作者单位： | 井冈山大学数理学院,江西吉安343009 |
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| 基金项目： | 国家自然科学基金项目（11347210） |
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| 摘 要： | 利用粒子群优化算法和支持向量回归方法建立不同食品的比热容与其水、蛋白质、碳水化合物和脂肪等含量间的预测模型,且在相同的训练样本和测试样本条件下,该预测模型的食品比热容预测精度高于反向传播神经网络模型,具有更强的泛化能力。结果表明：该预测模型能有效地预测食品比热容。
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| 关 键 词： | 食品 比热容 支持向量回归 粒子群算法 预测 |
SUPPORT VECTOR REGRESSION PREDICTION OF THE SPECIFIC HEAT CAPACITY OF FOOD |
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| WEN Yu-feng,CHEN Zhi-quan,TANG Peng-jie,LAI Zhang-li. SUPPORT VECTOR REGRESSION PREDICTION OF THE SPECIFIC HEAT CAPACITY OF FOOD[J]. Journal of Jinggangshan University(Natural Sciences Edition), 2014, 0(5): 29-32 |
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| Authors: | WEN Yu-feng CHEN Zhi-quan TANG Peng-jie LAI Zhang-li |
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| Affiliation: | (School of Mathematics and Physics, Jinggangshan University, Ji＇an, Jiangxi 343009, China) |
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| Abstract: | The dependence model of specific heat capacity on the contents of water, protein, carbohydrate and fat for different foods was established using the particle swarm optimization algorithm and support vector regression approach. Furthermore, the prediction precision of the dependence model is higher than that of back propagation neural network for the same training and test samples. Its generalization ability is also stronger than that of back propagation neural network. The experiment and analysis shows that the dependence model can be used to effectively estimating the specific heat capacity of food. |
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| Keywords: | food specific heat capacity support vector regression particle swarm optimization prediction |
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