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Team:Peking/Modeling
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| - | <font size=3><font color=# | + | <font size=3><font color=#000000><font face="Times New Roman">We adopted the process of Reverse Engineering which in our work means to enumerate all possible network topologies and analyzed whether they fit the objection function or not, thus getting the right topology.<br> |
Here we chose the object function as Input-Output Alignment. In order to define IOA precisely for need of calculation, we considered most important characters of IOA and adopted Pearson Correlation Coefficient r to represent Input-Output Linear Relationship in the overall search work ( when r>0.99 we consider the network topology having the IOA function ), and also, regulated two levels for the initial and ultimate output concentration for the second character – the output range in further search work.(Figure 1) | Here we chose the object function as Input-Output Alignment. In order to define IOA precisely for need of calculation, we considered most important characters of IOA and adopted Pearson Correlation Coefficient r to represent Input-Output Linear Relationship in the overall search work ( when r>0.99 we consider the network topology having the IOA function ), and also, regulated two levels for the initial and ultimate output concentration for the second character – the output range in further search work.(Figure 1) | ||
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Revision as of 10:45, 19 October 2010
Overview of Modeling
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Modelling Home
Introduction
We adopted the process of Reverse Engineering which in our work means to enumerate all possible network topologies and analyzed whether they fit the objection function or not, thus getting the right topology.
Here we chose the object function as Input-Output Alignment. In order to define IOA precisely for need of calculation, we considered most important characters of IOA and adopted Pearson Correlation Coefficient r to represent Input-Output Linear Relationship in the overall search work ( when r>0.99 we consider the network topology having the IOA function ), and also, regulated two levels for the initial and ultimate output concentration for the second character – the output range in further search work.(Figure 1)
