public override int Run(string[] args)
{
Console.WriteLine("Start");
fill_params(args);
Console.WriteLine("Params get \nfile in {0} \n", file_in);
Approx_learn_set = BaseUFSLoader.LoadLearnFromUFS(file_in);
Console.WriteLine("Tra load");
Approx_test_set = BaseUFSLoader.LoadTestFromUFS(file_in);
Console.WriteLine("Tst load");
conf = new PSOBacterySearchConf();
conf.Init(Approx_learn_set.CountVars);
conf.loadParams(confParams);
Console.WriteLine("Conf Filed");
Approx_Singletone = new SAFuzzySystem(Approx_learn_set, Approx_test_set);
Approx_Singletone = SAFSUFSLoader.loadUFS(Approx_Singletone, file_in);
Console.WriteLine("Classifier created");
optimaze = new PSOMethods.Approx.Term_config_PSO_Bactery();
Approx_Singletone = optimaze.TuneUpFuzzySystem(Approx_Singletone, conf);
Console.WriteLine("Optimization complite");
SAFSUFSWriter.saveToUFS(Approx_Singletone, file_out);
Console.WriteLine("Saved");
return(1);
}
public override int Run(string[] args)
{
Console.WriteLine("Start");
fill_params(args);
Console.WriteLine("Params get \nfile in {0} \n", file_in);
Class_learn_set = BaseUFSLoader.LoadLearnFromUFS(file_in);
Console.WriteLine("Tra load");
Class_test_set = BaseUFSLoader.LoadTestFromUFS(file_in);
Console.WriteLine("Tst load");
conf = new PSOBacterySearchConf();
conf.Init(Class_learn_set.CountVars);
conf.loadParams(confParams);
Console.WriteLine("Conf Filed");
Class_Pittsburg = new PCFuzzySystem(Class_learn_set, Class_test_set);
Class_Pittsburg = PCFSUFSLoader.loadUFS(Class_Pittsburg, file_in);
Console.WriteLine("Classifier created");
optimaze = new Term_config_PSO_Bactery();
Class_Pittsburg = optimaze.TuneUpFuzzySystem(Class_Pittsburg, conf);
Console.WriteLine("Optimization complite");
PCFSUFSWriter.saveToUFS(Class_Pittsburg, file_out);
Console.WriteLine("Saved");
return(1);
}
public override ILearnAlgorithmConf getConf(int CountFeatures)
{
ILearnAlgorithmConf result = new PSOBacterySearchConf();
result.Init(CountFeatures);
return(result);
}
public override void Init(ILearnAlgorithmConf Config)
{
base.Init(Config);
PSOBacterySearchConf CurrentConf = Config as PSOBacterySearchConf;
count_particle = CurrentConf.PSOSCPopulationSize;
sendBactery = CurrentConf.PSOBacteryHOCountGet;
sendPSO = CurrentConf.PSOBacteryHOCountSend;
interPSOtoSend = CurrentConf.PSOBacteryHOCountChange;
}
public override SAFuzzySystem TuneUpFuzzySystem(SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
PSOBacterySearchConf CurrentConf = conf as PSOBacterySearchConf;
count_iteration = CurrentConf.PSOSCCountIteration;
c1 = CurrentConf.PSOSCC1;
c2 = CurrentConf.PSOSCC2;
w = 1;
count_particle = CurrentConf.PSOSCPopulationSize;
sendBactery = CurrentConf.PSOBacteryHOCountGet;
sendPSO = CurrentConf.PSOBacteryHOCountSend;
interPSOtoSend = CurrentConf.PSOBacteryHOCountChange;
result = Approximate;
X = new KnowlegeBaseSARules[count_particle];
V = new KnowlegeBaseSARules[count_particle];
Pi = new KnowlegeBaseSARules[count_particle];
Pg = new KnowlegeBaseSARules();
Errors = new double[count_particle];
OldErrors = new double[count_particle];
rnd = new Random();
preIterate(result);
int trySend = 0;
int counterIter = 0;
for (int i = 0; i < count_iteration; i++)
{
oneIterate(result);
counterIter++;
if (counterIter == interPSOtoSend)
{
Pi = sortSolution(Pi);
savetoUFS(Pi.ToList(), 0, sendPSO, trySend);
BacteryRunner();
trySend++;
List <KnowlegeBaseSARules> tempRes = loadDatabase().ToList();
int size = tempRes.Count;
for (int p = tempRes.Count - 1; p >= 0; p--)
{
X[p] = tempRes[0];
double newError = Approximate.approxLearnSamples(X[p]);
if (newError < Errors[p])
{
Pi[p] = new KnowlegeBaseSARules(X[p]);
OldErrors[p] = Errors[p];
Errors[p] = newError;
if (minError > newError)
{
minError = newError;
Pg = new KnowlegeBaseSARules(X[p]);
}
}
tempRes.RemoveAt(0);
}
counterIter = 0;
}
}
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
