public override TSAFuzzySystem Generate(TSAFuzzySystem Approximate, IGeneratorConf config)
{
TSAFuzzySystem result = Approximate;
if (result.RulesDatabaseSet.Count == 0)
{
AbstractNotSafeGenerator tempGen = new GeneratorRulesEveryoneWithEveryone();
result = tempGen.Generate(result, config);
GC.Collect();
}
count_shrink = ((TermShrinkAndRotateConf)config).TSARCShrinkVars;
size_shrink = ((TermShrinkAndRotateConf)config).TSARCShrinkTerm;
type_func = ((TermShrinkAndRotateConf)config).IEWEFuncType;
count_slices = ((TermShrinkAndRotateConf)config).IEWECountSlice;
List <int> Varians_of_run_system = new List <int>();
for (int i = 0; i < Approximate.CountFeatures; i++)
{
int count_terms_for_var = Approximate.RulesDatabaseSet[0].TermsSet.FindAll(x => x.NumVar == i).Count;
if (i < count_shrink)
{
Varians_of_run_system.Add(count_terms_for_var - size_shrink);
}
else
{
Varians_of_run_system.Add(count_terms_for_var);
}
}
Varians_of_run_system.Sort();
TypeTermFuncEnum type_of_term = Approximate.RulesDatabaseSet[0].TermsSet[0].TermFuncType;
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Approximate.RulesDatabaseSet.Clear();
GeneratorRulesEveryoneWithEveryone.InitRulesEveryoneWithEveryone(Approximate, type_of_term, Pull_of_systems[i].ToArray());
Systems_ready_to_test.Add(Approximate.RulesDatabaseSet[0]);
errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet[0]));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(Systems_ready_to_test[best_index]);
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
// result.UnlaidProtectionFix();
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public override TSAFuzzySystem Generate(TSAFuzzySystem Approximate, IGeneratorConf config)
{
start_add_rules = Approximate.RulesDatabaseSet.Count;
TSAFuzzySystem result = Approximate;
if (result.RulesDatabaseSet.Count == 0)
{
AbstractNotSafeGenerator tempGen = new GeneratorRulesEveryoneWithEveryone();
result = tempGen.Generate(result, config);
GC.Collect();
}
Request_count_rules = ((RullesShrinkConf)config).RSCCountRules;
max_count_rules = ((RullesShrinkConf)config).RSCMaxRules;
count_slices = ((RullesShrinkConf)config).IEWECountSlice;
min_count_rules = ((RullesShrinkConf)config).RSCMinRules;
type_term = ((RullesShrinkConf)config).IEWEFuncType;
int count_of_swith_off = ((RullesShrinkConf)config).RSCMaxRules - Request_count_rules;
List <byte> Varians_of_run_system = new List <byte>();
for (int i = 0; i < Approximate.RulesDatabaseSet[0].RulesDatabase.Count; i++)
{
Varians_of_run_system.Add(1);
}
for (int i = 0; i < count_of_swith_off; i++)
{
Varians_of_run_system[i] = 0;
}
Generate_all_variant_in_pool(Varians_of_run_system);
for (int i = 0; i < Pull_of_systems.Count; i++)
{
KnowlegeBaseTSARules temp_rules = new KnowlegeBaseTSARules(result.RulesDatabaseSet[0], Pull_of_systems[i]);
temp_rules.TrimTerms();
result.RulesDatabaseSet.Add(temp_rules);
result.UnlaidProtectionFix(result.RulesDatabaseSet[start_add_rules + i]);
errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet [start_add_rules + i]));
}
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
KnowlegeBaseTSARules best = result.RulesDatabaseSet[start_add_rules + best_index];
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(best);
Console.WriteLine(Pull_of_systems.Count());
GC.Collect();
// result.UnlaidProtectionFix();
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public override TSAFuzzySystem Generate(TSAFuzzySystem Approximate, IGeneratorConf config)
{
TSAFuzzySystem result = Approximate;
Pull_of_systems = Pull_of_systems = new List <List <int> >();
Systems_ready_to_test = new List <KnowlegeBaseTSARules>();
errors_of_systems = new List <double>();
DynamicTuneConfGenerator config1 = config as DynamicTuneConfGenerator;
type_func = config1.IEWOTypeFunc;
List <int> Varians_of_run_system = new List <int>();
List <int> allOne = new List <int>();
for (int i = 0; i < Approximate.CountFeatures; i++)
{
allOne.Add(1);
}
Pull_of_systems.Add(new List <int>(allOne));
for (int j = 0; j < Approximate.CountFeatures - 1; j++)
{
Varians_of_run_system.Clear();
allOne[j] = 2;
Varians_of_run_system.AddRange(new List <int> (allOne));
Varians_of_run_system.Sort();
Generate_all_variant_in_pool(Varians_of_run_system);
}
allOne[Approximate.CountFeatures - 1] = 2;
Pull_of_systems.Add(new List <int> (allOne));
for (int i = 0; i < Pull_of_systems.Count; i++)
{
Approximate.RulesDatabaseSet.Clear();
GeneratorRulesEveryoneWithEveryone.InitRulesEveryoneWithEveryone(Approximate, type_func, Pull_of_systems[i].ToArray());
Systems_ready_to_test.Add(Approximate.RulesDatabaseSet[0]);
errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet[0]));
}
DynamicTuneClass dt = new DynamicTuneClass();
Approximate = dt.TuneUpFuzzySystem(Approximate, config1);
Systems_ready_to_test.Add(Approximate.RulesDatabaseSet[0]);
errors_of_systems.Add(result.approxLearnSamples(result.RulesDatabaseSet[0]));
int best_index = errors_of_systems.IndexOf(errors_of_systems.Min());
result.RulesDatabaseSet.Clear();
result.RulesDatabaseSet.Add(Systems_ready_to_test[best_index]);
count_slice_vars = new int[Approximate.CountFeatures];
for (int i = 0; i < count_slice_vars.Count(); i++)
{
count_slice_vars[i] = result.RulesDatabaseSet[0].TermsSet.Count(x => x.NumVar == i);
}
maxError = config1.MaxError;
TryCount = config1.TryCount;
RuleCount = result.RulesDatabaseSet[0].RulesDatabase.Count;
Console.WriteLine(Pull_of_systems.Count());
result.RulesDatabaseSet[0].TermsSet.Trim();
GC.Collect();
return(result);
}
