基于MNDT参数的多层感知器对咖啡烘焙程度的分类

2022 IEEE Symposium on Wireless Technology & Applications (ISWTA) Pub Date : 2022-08-17 DOI:10.1109/ISWTA55313.2022.9942782

Azlan Salim, I. Yassin, Mohd Khairil Adzhar Mahmood, Z. I. Khan, Megat Syahirul Amin Megat Ali, K. K. Mohd Shariff, Fairul Nazmie Osman, Adizul Ahmad, F. Eskandari

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引用次数: 1

摘要

本文提出了一种基于微波无损检测(MNDT)数据的智能判别咖啡烘焙程度的方法。MNDT方法通过几种类型的咖啡(深、中、浅烘焙)发射微波，并从中获得s参数读数。然后将多层感知器神经网络输入到MLP中，以确定不同咖啡烘焙的程度。MLP可以通过适当数量的隐藏单元区分不同的烘焙(每个样本有6400个数据点)。

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Classification of Coffee Roast Levels using Multi-Layer Perceptron on MNDT s-Parameters

This paper presents an intelligent method to differentiate levels of roasting of coffee based on data collected from Microwave Non-Destructive Testing (MNDT) method. The MNDT method beams microwaves through several types of coffee (dark, medium, and light roast) and obtains the s-parameter readings from them. A multi-layer perceptron neural network was then then fed to the MLP to determine the degree of different coffee roasts. The MLP could differentiate between the different roasts (with 6,400 data points per sample) with a modest number of hidden units.

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2022 IEEE Symposium on Wireless Technology & Applications (ISWTA)

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