| 微波干燥过程的神经网络模型 |
| |
| 引用本文： | 朱代根.微波干燥过程的神经网络模型[J].农机化研究,2010,32(6). |
| |
| 作者姓名： | 朱代根 |
| |
| 作者单位： | 西南林学院,交通机械与土木工程学院,昆明,650224 |
| |
| 摘 要： | 研究了微波干燥过程的神经网络模型。建立了基于Levenberg—Marquardt优化算法的3层BP神经网络,网络输入为微波功率和辐射时间,输出为干基湿含量。使用线性回归方程、均方差和相关系数来评定所建网络的性能。结果表明,当隐层激发函数和神经元个数分别为tansig和25时,所得模型可以同时满足训练和测试的精度要求。
|
| 关 键 词： | 微波干燥 神经网络 模型 |
Modeling of Microwave Drying by Artificial Neural Networks |
| |
| Zhu Daigen.Modeling of Microwave Drying by Artificial Neural Networks[J].Journal of Agricultural Mechanization Research,2010,32(6). |
| |
| Authors: | Zhu Daigen |
| |
| Institution: | College of Communication/a>;Machinery and Civil Engineering/a>;Southwest Forestry University/a>;Kunming 650224/a>;China |
| |
| Abstract: | The main objective of this work was to develop artificial neural network (ANN) model for microwave drying. One-hidden-layer feed-forward ANN models with Levenberg-Marquardt algorithm were trained and validated with experimental data. Inputs for ANN models were microwave power and drying time. Output from ANN models was moisture content at a given drying time. The model was evaluated by regression line,standard deviation and correlation coefficient. Based on our results,the best network was composed of 25 hi... |
| |
| Keywords: | microwave drying artificial neural networks modeling |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
