| 基于人工神经网络的逆流式谷物干燥机模型 |
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| 引用本文： | 方建军 曹崇文. 基于人工神经网络的逆流式谷物干燥机模型[J]. 中国农业大学学报, 1997, 2(6): 39-42 |
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| 作者姓名： | 方建军 曹崇文 |
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| 作者单位： | 中国农业大学机械工程学院!北京清华东路17号中国农业大学（东核区）50信箱，100083(方建军)，中国农业大学机械工程学院(曹崇文) |
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| 摘 要： | 针对传统数学建模方法的局限性，利用人工神经网络建立逆流式谷物干燥机模型。网络的拓扑结构是基于感知机的３层前向网络，采用ＢＰ算法对网络进行训练，训练数据来源于逆流干燥要计算机模拟结果。实验结果表明网络能很好地预测逆流干燥机的行为。
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| 关 键 词： | 谷物干燥 人工神经网络 模型 |
Counter-flow Grain Dryer Model Based on Artificial Neural Network |
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| Fang Jianjun,Cao Chongwen. Counter-flow Grain Dryer Model Based on Artificial Neural Network[J]. Journal of China Agricultural University, 1997, 2(6): 39-42 |
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| Authors: | Fang Jianjun Cao Chongwen |
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| Abstract: | Artificial Neural Network (ANN) model of counter-flow dryer were presented afte r analyzing the limitations of tradltional mathematical modeling method. Topology of network is a 3-layer forward network based on perceptron. Back Propogation (BP) was used in training network with the data obtained from the simulation results of counter-flow dryer.Experiments show that the performances of counter-flow grain dryer can be predicted by the ANN model very well. |
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| Keywords: | grain drying artificial neural network model |
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