| 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。 |
| 关键词: 谷物干燥 人工神经网络 模型 |
| DOI： |
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| 基金项目: |
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| Counter-flow Grain Dryer Model Based on Artificial Neural Network |
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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. |
| Key words: grain drying,artificial neural network,model |
