The artificial neural network for estimating of bamboo shoot's weight for the bamboo shoot sizing process

Supachoke Saengswarng
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引用次数: 2

Abstract

The artificial neural network (ANN) models were used for estimating the weight of bamboo shoot by measuring its mean diameter length and height for sizing process. The optimal model consisted of one hidden layer, with sixteen neurons in hidden layer, and 2 inputs, mean diameter and height, was able to produce weight of bamboo shoot values with the R2 value of curve between the values which predicted by optimal ANN and the actual values was 0.8204 which was proposed by S. Saengswarng compared to another 4 different models, ANN 1 input (mean diameter) ANN 2 inputs (mean diameter and length) ANN 3 inputs (mean diameter height and length) and Calculating from solid cone volume.
竹笋施胶过程中竹笋质量的人工神经网络估计
采用人工神经网络(ANN)模型,通过测量笋的平均直径、长度和高度来估算笋的质量。最优模型由1个隐层组成,隐层中有16个神经元,平均直径和平均高度2个输入,与其他4种不同模型相比,最优人工神经网络预测值与实际值之间的曲线R2值为S. Saengswarng提出的0.8204,能够生成笋权值。ANN 1输入(平均直径)ANN 2输入(平均直径和长度)ANN 3输入(平均直径高度和长度)和计算从实体锥体积。
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