Assessing the Performance of a Machine Learning System to Predict Geometrical Properties of Ahmad Aghaei Pistachio Kernels

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Background

The use of machine learning techniques such as artificial neural networks (ANN) improves the performance and speed of prediction processes as well as their reliability in the design of agricultural processing machines. Machine learning as a subset of artificial intelligence makes it possible to develop a unique way to create a predictive model system in the form of a known dataset by developing machine learning models (MLM).

Materials and Methods

In this study, first the geometric properties of pistachio kernels including the major diameter (L), intermediate diameter (T), minor diameter (W), geometric mean diameter (Dg), and surface area (S) were calculated at four moisture levels of 4.33, 22.64, 29.11, and 41.35% (w.b). Then, the data obtained in this step were used as the input values (L, W & T) and the output value (S) into the machine learning system. Multi-layer perceptron (MLP) and radial basis functions (RBF) were used as two machine learning models to predict the surface area of pistachio kernel during rehydration.

Results

The data analysis revealed that the neural network model of RBF with 42 neurons in the hidden layer (N1st=42) had the lowest mean relative error (MRE=0.01414), and the highest coefficient of determination (R2=0.954) and chosen as the best model for predicting the surface area of pistachio kernel.

Conclusion

Following the findings of this study, it can be concluded that the MLM as one of new forecasting techniques can be used to estimate the engineering properties of agricultural products.

Language:
English
Published:
Pistachio and Health Journal, Volume:5 Issue: 1, Winter 2022
Pages:
22 to 29
https://www.magiran.com/p2424159  
سامانه نویسندگان
  • Mohsen Mokhtarian
    Corresponding Author (3)
    Assistant Professor Department of Food Science and Technology, Roudhen Branch, Islamic Azad University, Roudhen, Iran, Roudehen Branch, Islamic Azad University, Rudhan, Iran
    Mokhtarian، Mohsen
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