节点文献
基于人工神经网络的逆流式谷物干燥机模型
Counter-flow Grain Dryer Model Based on Artificial Neural Network
【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机计算机模拟结果。实验结果表明网络能很好地预测逆流干燥机的行为。
【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.
- 【文献出处】 中国农业大学学报 ,JOURNAL OF CHINA AGRICULTURAL UNIVERSITY , 编辑部邮箱 ,1997年06期
- 【分类号】S226.600.1
- 【被引频次】13
- 【下载频次】130