Numerical Information Retrieval and Modeling for Small Droplet Samples
P. He, L. Xue, Y. Qi, L. Zhang, Y. Lu
Available Online August 2013.
- https://doi.org/10.2991/icacsei.2013.168How to use a DOI?
- Information retrieval, Data analysis, Biomicrofluidics, Droplets, Modeling.
- Information retrieval is applied widely in modern digital world. Particularly in chemistry and life science, retrieval technology is used for raw data acquirement, analytical modeling and processing optimization. The complicated microdroplets fabrication can be facilitated through different retrievals. In this work, different information retrieval and analysis were performed through small samples. The linear model could depict general droplet size variation. Nonlinear item was found and then added in this model to ameliorate its effectiveness. The biomicrofluidic droplet variations, as complicated procedure, were described satisfactorily in the optimized nonlinear model. Neural Networks Modeling (NNM) was performed to train the small samples and finally the verification of NNM demonstrated its accuracy for small droplet samples.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - P. He AU - L. Xue AU - Y. Qi AU - L. Zhang AU - Y. Lu PY - 2013/08 DA - 2013/08 TI - Numerical Information Retrieval and Modeling for Small Droplet Samples BT - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) PB - Atlantis Press SP - 697 EP - 699 SN - 1951-6851 UR - https://doi.org/10.2991/icacsei.2013.168 DO - https://doi.org/10.2991/icacsei.2013.168 ID - He2013/08 ER -