混合过程的神经网络预测与自动化

D. Pamela, Varsha Varghese, J. Rosalin
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引用次数: 0

摘要

搅拌是食品工业中最重要的工序之一。在用于混合的搅拌器中,带状搅拌器是最常用的搅拌器。本文提出了一种实现混合过程自动化的方法。传统的带状搅拌器在实际应用中需要手动操作。该系统是一个半自动化系统,由单片机和定时器电路组成,利用神经网络预测混合过程的时间。所提出的半自动化混合工艺在效率和使用方便方面具有更好的性能。本文介绍了利用神经网络预测带状混合器混合过程中混合时间的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction and Automation of Mixing Process Using Neural Networks
Mixing is one of the most important process performed in food industry. Among the blenders used for mixing, Ribbon blender is the most commonly used mixer. This paper proposes a method for the automation of mixing process. The traditional Ribbon blender which are in practice has to be operated manually. The proposed system is a semi-automated system which consists of microcontroller and the timer circuit to predict the time of the mixing process using Neural Network. The proposed semi-automated mixing process offers better performance in terms of efficiency and user convenience. This paper describes the method to predict the mixing time in mixing process of ribbon mixer using Neural Network.
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