1. NETWORK COSTING ANALYSIS (SAMPLE ASSIGNMENT)
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A neural network based dynamic forecasting model for Trend Impact Analysis
Main Function.m
AdvancedTIA()
% rand('state',0); -- In case you want to fix the seed; for testing purposes
NumS=100,000;
NumE=3;
NumY=2;
TMaxMx=xlsread('Time_Max_Impact.xls');
MaxImpMx=xlsread('Max_Impact.xls');
TSSMx=xlsread('Time_SteadyState_Impact.xls');
SSImpMx=xlsread('Steady_State_Impact.xls');
ProbOccMx=[];
ProbOccMx(:,:,1)=xlsread('High_Sev.xls');
ProbOccMx(:,:,2)=xlsread('Medium_Sev.xls');
ProbOccMx(:,:,3)=xlsread('Low_Sev.xls');
TMax=[];
MaxImp=[];
TSS=[];
SSIMP=[];
SrMx=[];
SrMx=ones(NumY*12, NumS);
for s=1:NumS
for e=1:NumE
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4. d=0;
if u<=ProbOccMx(e,y,1)
d=1;
end
if u<=(ProbOccMx(e,y,2)+ProbOccMx(e,y,1)) &
u>ProbOccMx(e,y,1)
d=2;
end
if
u<=(ProbOccMx(e,y,3)+ProbOccMx(e,y,2)+ProbOccMx(e,y,1))
& u>(ProbOccMx(e,y,2)+ProbOccMx(e,y,1))
d=3;
end
out=d;
ComputeFracChgVect.m
function[out]=ComputeFracChgVect(m,y,NumY,MaxImp,SSImp,TMax,TSS)
FracChgVect=[];
NumM=NumY*12;
Idx=(y-1)*12+m;
FracChgVect(1:Idx)=0;
FracChgVect(Idx:min(NumM,Idx+TMax))=MaxUpdate(Idx,MaxImp,TMax,NumY);
if NumM>Idx+TMax
FracChgVect(Idx+TMax:min(NumM,Idx+TSS))=SSUpdate(Idx,MaxImp,TMax,SSImp,T
SS,NumY);
end
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