The Estimating of Rambutan's Peel Thickness by Using the Artificial Neural Network for Designing of the Rambutan Peeling Machine

机译：用人工神经网络设计红毛丹去皮机，估算红毛丹的去皮厚度

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The artificial neural network (ANN) models were used for estimating the peel thickness of rambutan by measuring its maximum diameter for designing of the rambutan peeling machine. This paper proposed the suitable pair of the input and output which provided the best accuracy by the ANN method. The analytical result showed that the best accuracy occurred in the case of the maximum diameter in Z-axis was an input and the peel thickness in Z-axis was an output and the optimal ANN model of this case consisted of one hidden layer with six neurons in hidden layer, was able to produce the peel thickness of rambutan values with the R2 value of curve between the values which predicted by optimal ANN and the actual values was 0.9401.

机译：人工神经网络（ANN）模型用于通过测量红毛丹的最大直径来估计红毛丹的剥离厚度，从而设计红毛丹剥皮机。本文提出了合适的输入和输出对，它们通过ANN方法提供了最佳的精度。分析结果表明，以Z轴的最大直径为输入，以Z轴的剥离厚度为输出，这种情况下的最佳精度是这种情况的最佳ANN模型由一个包含六个神经元的隐藏层组成在隐蔽层中，能够产生红毛丹值的剥离厚度，最佳RNN预测值与实际值之间的曲线的R2值为0.9401。

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《International Conference on Industrial Technology and Management》|2019年|317-321|共5页
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Supachoke Saengswarng; Sirasa Thangdee;
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Artificial neural networks; Neurons; Thickness measurement; Transfer functions; Biological neural networks; Predictive models; Mathematical model;

机译：人工神经网络;神经元;厚度测量;传递函数;生物神经网络;预测模型;数学模型;

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The Estimating of Rambutan's Peel Thickness by Using the Artificial Neural Network for Designing of the Rambutan Peeling Machine

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