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用多目标颗粒群集优化为基础的面包构成型建模方法预测面包停滞

Yusheng Zhang1, Hui Yu1, Haiyu Zhang1

  • 1China Agricultural University, College of Engineering, Beijing, China.

Journal of texture studies
|June 12, 2023
PubMed
概括

使用多目标粒子群优化 (MOPSO) 的新食品构成模型方法快速检测到面包缩. 这种方法有效地识别了爬行测试参数,并预测了粘弹性参数,以改善面包质量监测.

关键词:
空气流激光器是什么?面包拖延延时间爬行 爬行 爬行 爬行 是一个一般化的凯尔文模型.多重目标多重目标.粒子群集优化 粒子群集优化

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