Difference between revisions of "Team:NCTU Formosa/Model"
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<h1 class="topic" id="topic1">Overview</h1> | <h1 class="topic" id="topic1">Overview</h1> | ||
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| + | <h1 class="topic" id="topic2">Assumptions of Whole Model</h1> | ||
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| + |   Modeling is calculating the physical phenomenon by using mathematical methods or logical algorithms.<br><br><br> | ||
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| + |   Our model aims at making the DenTeeth work precisely and optimizing the efficiency of this product. First, the Prediction Model predicts the bacterial growth curve and the expression of protein and peptide with a quorum sensing system. Second, by developing a reinforcement learning AI which can accurately find out the best frequency for each dog using DenTeeth by the results of the Prediction Model. Our model can be divided into the following two parts: | ||
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| + | <li>Prediction Model</li> | ||
| + | <li>Optimized Frequency Model</li> | ||
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| + | <img class="ReadMore2" id="img_Open" src="https://static.igem.org/mediawiki/2021/1/15/T--NCTU_Formosa--ellipsis.svg"> | ||
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| + | <img class="ReadMore2" style="display: none; "id="img_Close" src="https://static.igem.org/mediawiki/2021/5/50/T--NCTU_Formosa--close.svg"> | ||
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Revision as of 13:35, 30 September 2021
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Overview
Assumptions of Whole Model
Modeling is calculating the physical phenomenon by using mathematical methods or logical algorithms.
Prediction Model
Optimized Frequency Model
Hardware
Prediction Model
The Prediction Model is mainly to analyze the growth of bacteria and the expression of protein and peptide. It can also predict the killing rate and sterilization rate. By this model, we can define the efficiency of DenTeeth.
Optimized Frequency Model
To optimize the frequency of using DenTeeth and making our model applies to the dogs better. We input the results of the Prediction Mode to the Optimized Frequence Model and find out the best strategy.
Hardware
思考中...
