抽象的

ANN applicability in gas holdup prediction in tapered bubble columns using non-Newtonian pseudo plastic liquids

Sumit Kumar Jana, Asit Baran Biswas, Sudip Kumar Das


Applicability ofArtificial Neural Network (ANN) for the prediction of gas holdup in tapered bubble columns using non-Newtonian pseudoplastic liquids have been reported. The experimental data used for this analysis are taken from our earlier publication (Jana S. K., A. B. Biswas and S. K. Das, Gas holdup in tapered bubble column using pseudoplastic non-Newtonian liquids, Korean J..Chem. Engg., 31(4) (2014) 574-481). The ANN with multilayer perceptron (MPL) with one hidden layer and four different transfer functionswith backpropagation algorithmwere used to demonstrate the applicability of ANN in the prediction of gas holdup.


免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证

索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 电子期刊图书馆
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • ICMJE

查看更多

期刊国际标准号

期刊 h 指数

Flyer