基于ANN的苜蓿太阳能干燥温度场仿真研究

RESEARCH ON THE SIMULATION OF TEMPERATURE FIELD IN ALFAIFA SOLAR DRYING PROCESS BASED ON ANN

在苜蓿固定深层太阳能干燥过程中,苜蓿干燥过程是非线性的,且干燥因素有交互作用和不可控制等特点。采用传统方法建模较复杂且精度不高。本文介绍了1种基于BP算法的人工神经网络的建模仿真方法,着重阐述了以苜蓿太阳能干燥过程中的苜蓿温度变化为切入点,利用MATLAB人工神经网络工具箱的建模仿真过程,最终建立1个精度高达97%人工神经网络模型,为太阳能干燥过程控制提供参考依据。

In the alfalfa fixed deep solar drying process,the alfalfa drying process is non-linear、interactive and uncontrollable and so on.It is complex to found model using the traditional method and accuracy is not high.This paper presents a method based on BP artificial neural network modeling approach,focused on the alfalfa temperature in order to provide reference for solar drying process control.