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/* This programme to test the relation between temperature feedback and PWM Keep speed in 4s, Test speed in 1s, then change PWM This test will last 91*5s, the temperature of furnace will high

function sa clear CityNum=30; [dislist,Clist]=tsp(CityNum); %t0,tf is the initial and finil temperature;alpha is controling temperature coeffient tf=0.01; alpha=0.80; L=100*CityNum; %the length

function sa clear CityNum=30; [dislist,Clist]=tsp(CityNum); %t0,tf is the initial and finil temperature;alpha is controling temperature coeffient tf=0.01; alpha=0.80; L=100*CityNum; %the length

function sa clear CityNum=30; [dislist,Clist]=tsp(CityNum); %t0,tf is the initial and finil temperature;alpha is controling temperature coeffient tf=0.01; alpha=0.80; L=100*CityNum; %the length

THERM#MODLR#TEMP # Entire#Model Import a Thermal Modeler temperature load on the entire model. # Selected#Surfaces Import a Thermal Modeler temperature load on selected surfaces. # Beams Import a The

THERM#MODLR#TEMP # Entire#Model Import a Thermal Modeler temperature load on the entire model. # Selected#Surfaces Import a Thermal Modeler temperature load on selected surfaces. # Beams Import a The

function CPD = maximize_params(CPD, temp) % MAXIMIZE_PARAMS Find ML params of an MLP using Scaled Conjugated Gradient (SCG) % CPD = maximize_params(CPD, temperature) % temperature parameter is igno

function CPD = maximize_params(CPD, temp) % MAXIMIZE_PARAMS Find ML params of an MLP using Scaled Conjugated Gradient (SCG) % CPD = maximize_params(CPD, temperature) % temperature parameter is igno

function CPD = maximize_params(CPD, temp) % MAXIMIZE_PARAMS Find ML params of an MLP using Scaled Conjugated Gradient (SCG) % CPD = maximize_params(CPD, temperature) % temperature parameter is igno

function CPD = maximize_params(CPD, temp) % MAXIMIZE_PARAMS Find ML params of an MLP using Scaled Conjugated Gradient (SCG) % CPD = maximize_params(CPD, temperature) % temperature parameter is igno