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Revision as of 12:10, 31 October 2017
First: establishment principle of prediction model
Second: modeling assumption
1) The prediction model is an experimental analysis which based on the experimental principle and the Hill function by drawing up the relevant parameters.
2) It is assumed that there is less attenuation of the AHL when it is in low concentration.
3) The molecular weight of AHL-LuxR does not vary with time and remains stable.
4) The fixed parameters used in the model are based on the experimental principle and related literature hypothesis, for there may be about the predicted trend of curve and the problems which may arise in the process of experiment.
5) The model does not consider the impact of environmental factors on the change of natural causes.
6) The threshold can be chosen according to the experimental phenomena, and the threshold in ours prediction model is chosen as [LR]/2.
2) It is assumed that there is less attenuation of the AHL when it is in low concentration.
3) The molecular weight of AHL-LuxR does not vary with time and remains stable.
4) The fixed parameters used in the model are based on the experimental principle and related literature hypothesis, for there may be about the predicted trend of curve and the problems which may arise in the process of experiment.
5) The model does not consider the impact of environmental factors on the change of natural causes.
6) The threshold can be chosen according to the experimental phenomena, and the threshold in ours prediction model is chosen as [LR]/2.
Third: theoretical Basis
- Character definition
- Hill function
- Derivation process of discrete forecasting model
Fourth:model building
1) The effect of different initial AHL concentration:
2)The effect of background expression on AHL accumulation: