基于 PNN 的蛋壳质量鉴别研究模型

刘 宏卿
名医医生集团（深圳）有限公司

摘要

本文基于PNN（概率神经网络）的方法，建立了蛋壳质量鉴别研究模型。结果表明：建立的模型结构为3-0.6-1，均方误差（RMSE）最小值为0.012。该模型可以有效地预测蛋壳质量判定影响规律，为选择蛋壳质量提供理论参考。

关键词

蛋壳质量；蛋壳鉴别；PNN；均方误差；模型结构

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